Publications
Selected publications
- Human-In-the-loop Learning and Control for Robot Teleoperation (Book - 2023)
- Robot Learning Human Skills and Intelligent Control Design (Book - 2021)
2024
Deep reinforcement learning-based pitch attitude control of a beaver-like underwater robot
Chen, G., Zhao, Z., Lu, Y., Yang, C., & Hu, H. (2024). Deep reinforcement learning-based pitch attitude control of a beaver-like underwater robot. Ocean Engineering, 307, 118163. doi:10.1016/j.oceaneng.2024.118163
A novel framework inspired by human behavior for peg-in-hole assembly
Guo, P., Si, W., & Yang, C. (2024). A novel framework inspired by human behavior for peg-in-hole assembly. Robotic Intelligence and Automation, 44(5), 713-723. doi:10.1108/ria-01-2024-0019
Robust 3-D Path Following Control Framework for Magnetic Helical Millirobots Subject to Fluid Flow and Input Saturation.
Qi, Z., Cai, M., Hao, B., Cao, Y., Su, L., Liu, X., . . . Zhang, L. (2024). Robust 3-D Path Following Control Framework for Magnetic Helical Millirobots Subject to Fluid Flow and Input Saturation.. IEEE transactions on cybernetics, PP. doi:10.1109/tcyb.2024.3439708
Development of vision–based SLAM: from traditional methods to multimodal fusion
Zheng, Z., Su, K., Lin, S., Fu, Z., & Yang, C. (2024). Development of vision–based SLAM: from traditional methods to multimodal fusion. Robotic Intelligence and Automation, 44(4), 529-548. doi:10.1108/ria-10-2023-0142
BioTacTip: A Soft Biomimetic Optical Tactile Sensor for Efficient 3D Contact Localization and 3D Force Estimation
Li, H., Nam, S., Lu, Z., Yang, C., Psomopoulou, E., & Lepora, N. F. (2024). BioTacTip: A Soft Biomimetic Optical Tactile Sensor for Efficient 3D Contact Localization and 3D Force Estimation. IEEE Robotics and Automation Letters, 9(6), 5314-5321. doi:10.1109/lra.2024.3387111
Focused section on new trends on intelligent automation by industrial robots
Chen, S., Tao, B., Chen, F., Li, X., Yang, C., & Yang, R. (2024). Focused section on new trends on intelligent automation by industrial robots. International Journal of Intelligent Robotics and Applications, 8(2), 269-272. doi:10.1007/s41315-024-00348-9
Reconciling Conflicting Intents: Bidirectional Trust-Based Variable Autonomy for Mobile Robots
Li, Y., Cui, R., Yan, W., Zhang, S., & Yang, C. (2024). Reconciling Conflicting Intents: Bidirectional Trust-Based Variable Autonomy for Mobile Robots. IEEE Robotics and Automation Letters, 9(6), 5615-5622. doi:10.1109/lra.2024.3396100
Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills.
Jin, Z., Liu, A., Zhang, W. -A., Yu, L., & Yang, C. (2024). Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills.. IEEE transactions on neural networks and learning systems, PP. doi:10.1109/tnnls.2024.3397356
TacShade: A New 3D-printed Soft Optical Tactile Sensor Based on Light, Shadow and Greyscale for Shape Reconstruction
Lu, Z., Yang, J., Li, H., Li, Y., Si, W., Lepora, N., & Yang, C. (2024). TacShade: A New 3D-printed Soft Optical Tactile Sensor Based on Light, Shadow and Greyscale for Shape Reconstruction. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 17153-17159). IEEE. doi:10.1109/icra57147.2024.10610508
Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.
Yue, T., Si, W., Keller, A., Yang, C., Bloomfield-Gadêlha, H., & Rossiter, J. (2024). Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.. Proceedings of the National Academy of Sciences of the United States of America, 121(16), e2314359121. doi:10.1073/pnas.2314359121
Guest Editorial Special Issue on Movement Sciences in Cognitive Systems
Zhong, J., Dong, R., Ikuno, S., Li, Y., & Yang, C. (2024). Guest Editorial Special Issue on Movement Sciences in Cognitive Systems. IEEE Transactions on Cognitive and Developmental Systems, 16(2), 403-406. doi:10.1109/tcds.2024.3372274
Two-Stage Grasp Detection Method for Robotics Using Point Clouds and Deep Hierarchical Feature Learning Network
Liu, X., Huang, C., Li, J., Wan, W., & Yang, C. (2024). Two-Stage Grasp Detection Method for Robotics Using Point Clouds and Deep Hierarchical Feature Learning Network. IEEE Transactions on Cognitive and Developmental Systems, 16(2), 720-731. doi:10.1109/tcds.2023.3289987
Safe Learning by Constraint-Aware Policy Optimization for Robotic Ultrasound Imaging
Duan, A., Yang, C., Zhao, J., Huo, S., Zhou, P., Ma, W., . . . Navarro-Alarcon, D. (2024). Safe Learning by Constraint-Aware Policy Optimization for Robotic Ultrasound Imaging. IEEE Transactions on Automation Science and Engineering, 1-12. doi:10.1109/tase.2024.3378915
Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control
Liu, C., Peng, G., Xia, Y., Li, J., & Yang, C. (2024). Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control. Neurocomputing, 574, 127248. doi:10.1016/j.neucom.2024.127248
Composite Error Learning Robot Control Using Discontinuous Lyapunov Analysis
Pan, Y., Guo, K., Bobtsov, A., Yang, C., & Yu, H. (2024). Composite Error Learning Robot Control Using Discontinuous Lyapunov Analysis. IEEE Transactions on Automatic Control, 69(3), 1705-1712. doi:10.1109/tac.2023.3326749
Robust Image-Based Adaptive Fuzzy Controller for Guarantee Field of View With Uncertain Dynamics
Jiang, J., Wang, Y., Jiang, Y., Feng, Y., Zhong, H., & Yang, C. (2024). Robust Image-Based Adaptive Fuzzy Controller for Guarantee Field of View With Uncertain Dynamics. IEEE Transactions on Fuzzy Systems, 32(3), 1564-1575. doi:10.1109/tfuzz.2023.3328884
Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control
Xing, X., Maqsood, K., Zeng, C., Yang, C., Yuan, S., & Li, Y. (2024). Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control. IEEE Transactions on Industrial Informatics, 20(2), 1675-1686. doi:10.1109/tii.2023.3280320
Guest Editorial Special Issue on Cognitive Learning of Multiagent Systems
Tang, Y., Lin, W., Yang, C., Gatti, N., & Yen, G. G. (2024). Guest Editorial Special Issue on Cognitive Learning of Multiagent Systems. IEEE Transactions on Cognitive and Developmental Systems, 16(1), 4-7. doi:10.1109/tcds.2023.3325505
A Dynamic Movement Primitives-Based Tool Use Skill Learning and Transfer Framework for Robot Manipulation
Lu, Z., Wang, N., & Yang, C. (2024). A Dynamic Movement Primitives-Based Tool Use Skill Learning and Transfer Framework for Robot Manipulation. IEEE Transactions on Automation Science and Engineering, 1-16. doi:10.1109/tase.2024.3370139
A Learning System for Deformable Object Cooperative Manipulation
Shi, D., Hu, H., Yang, C., Lu, Z., & Li, Q. (2024). A Learning System for Deformable Object Cooperative Manipulation. IEEE Transactions on Automation Science and Engineering, 1-12. doi:10.1109/tase.2024.3486063
A Novel Robust Imitation Learning Framework for Complex Skills With Limited Demonstrations
Wang, W., Zeng, C., Zhan, H., & Yang, C. (2024). A Novel Robust Imitation Learning Framework for Complex Skills With Limited Demonstrations. IEEE Transactions on Automation Science and Engineering, 1-13. doi:10.1109/tase.2024.3403833
A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control
Luo, J., Zhang, C., Si, W., Jiang, Y., Yang, C., & Zeng, C. (2024). A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control. IEEE Transactions on Automation Science and Engineering, 1-12. doi:10.1109/tase.2024.3415650
Adaptive fixed‐time prescribed performance regulation for switched stochastic systems subject to time‐varying state constraints and input delay
Chen, X., Li, J., Wu, J., & Yang, C. (n.d.). Adaptive fixed‐time prescribed performance regulation for switched stochastic systems subject to time‐varying state constraints and input delay. International Journal of Robust and Nonlinear Control. doi:10.1002/rnc.7650
An impedance recognition framework based on electromyogram for physical human-robot interaction
Luo, J., Zhang, C., Zeng, C., Jiang, Y., & Yang, C. (2024). An impedance recognition framework based on electromyogram for physical human-robot interaction. IEEE Transactions on Cognitive and Developmental Systems, 1-13. doi:10.1109/tcds.2024.3442172
Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance
Peng, G., Li, T., Yang, C., & Philip Chen, C. L. (2024). Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(10), 6482-6494. doi:10.1109/tsmc.2024.3430265
Broad Reinforcement Learning for Adaptive Control of a 2-DOF Helicopter System With Unknown Dead Zone
Zhao, Z., Weng, Y., Liu, Z., Yang, C., & Chen, C. L. P. (2024). Broad Reinforcement Learning for Adaptive Control of a 2-DOF Helicopter System With Unknown Dead Zone. IEEE Transactions on Industrial Electronics, 1-10. doi:10.1109/tie.2024.3454429
Deep Fusion for Multi-Modal 6D Pose Estimation
Lin, S., Wang, Z., Zhang, S., Ling, Y., & Yang, C. (2024). Deep Fusion for Multi-Modal 6D Pose Estimation. IEEE Transactions on Automation Science and Engineering, 21(4), 6540-6549. doi:10.1109/tase.2023.3327772
Design and Quantitative Assessment of Teleoperation-Based Human–Robot Collaboration Method for Robot-Assisted Sonography
Si, W., Wang, N., & Yang, C. (2024). Design and Quantitative Assessment of Teleoperation-Based Human–Robot Collaboration Method for Robot-Assisted Sonography. IEEE Transactions on Automation Science and Engineering, 1-11. doi:10.1109/tase.2024.3350524
Distributed Collaborative Control of Redundant Robots Under Weight-Unbalanced Directed Graphs
Zheng, X., Liu, M., Jin, L., & Yang, C. (2024). Distributed Collaborative Control of Redundant Robots Under Weight-Unbalanced Directed Graphs. IEEE Transactions on Industrial Informatics, 20(1), 681-690. doi:10.1109/tii.2023.3268778
Distributed Observer-Based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation
Lu, Z., Wang, N., Si, W., & Yang, C. (2024). Distributed Observer-Based Prescribed Performance Control for Multi-Robot Deformable Object Cooperative Teleoperation. IEEE Transactions on Automation Science and Engineering, 21(3), 4143-4154. doi:10.1109/tase.2023.3292553
Dynamic modeling and experimental analysis of a novel bionic mantis shrimp robot
Chen, G., Xu, Y., Yang, C., Yang, X., Hu, H., Dong, F., . . . Shi, J. (n.d.). Dynamic modeling and experimental analysis of a novel bionic mantis shrimp robot. Journal of Field Robotics. doi:10.1002/rob.22424
Editorial: Neuro-derived control for interactive technology on unmanned robot systems.
Li, J., & Yang, C. (2024). Editorial: Neuro-derived control for interactive technology on unmanned robot systems.. Frontiers in neurorobotics, 18, 1360021. doi:10.3389/fnbot.2024.1360021
Guest Editorial to the Special Section on Composite Adaptive and Learning Control With Robotic Applications
Pan, Y., Baldi, S., Yang, C., & Precup, R. -E. (2024). Guest Editorial to the Special Section on Composite Adaptive and Learning Control With Robotic Applications. IEEE Control Systems Letters, 8, 265-266. doi:10.1109/lcsys.2024.3367048
Hierarchical Impedance, Force, and Manipulability Control for Robot Learning of Skills
Zeng, C., Yang, C., Jin, Z., & Zhang, J. (2024). Hierarchical Impedance, Force, and Manipulability Control for Robot Learning of Skills. IEEE/ASME Transactions on Mechatronics, 1-12. doi:10.1109/tmech.2024.3419852
Hybrid variable admittance force tracking and fixed-time position control for robot–environment interaction
Zhan, H., Ye, D., Zeng, C., & Yang, C. (n.d.). Hybrid variable admittance force tracking and fixed-time position control for robot–environment interaction. Robotic Intelligence and Automation. doi:10.1108/ria-03-2024-0080
Learning Freehand Ultrasound Through Multimodal Representation and Skill Adaptation
Deng, X., Jiang, J., Cheng, W., Yang, C., & Li, M. (2024). Learning Freehand Ultrasound Through Multimodal Representation and Skill Adaptation. IEEE Transactions on Automation Science and Engineering, 1-14. doi:10.1109/tase.2024.3416827
Learning Stable State-Dependent Variable Impedance Control for Compliant Manipulation
Jin, Z., Liu, A., Zhang, W. -A., Yu, L., & Yang, C. (2024). Learning Stable State-Dependent Variable Impedance Control for Compliant Manipulation. IEEE/ASME Transactions on Mechatronics, 1-12. doi:10.1109/tmech.2024.3466950
Multifingered Grasp Planning Based on Gaussian Process Implicit Surface and its Partial Differentials
Liu, H., Sampath, S. K., Wang, N., & Yang, C. (2024). Multifingered Grasp Planning Based on Gaussian Process Implicit Surface and its Partial Differentials. IEEE/ASME Transactions on Mechatronics, 29(5), 3522-3533. doi:10.1109/tmech.2023.3347785
Neural Control for Human-Robot Interaction with Human Motion Intention Estimation
Peng, G., Yang, C., & Chen, C. L. P. (2024). Neural Control for Human-Robot Interaction with Human Motion Intention Estimation. IEEE Transactions on Industrial Electronics, 71(12), 16317-16326. doi:10.1109/tie.2024.3379681
Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments
Liu, C., Peng, G., Zhao, K., Li, J., & Yang, C. (2024). Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments. IEEE Transactions on Industrial Electronics, 71(12), 16338-16347. doi:10.1109/tie.2024.3383029
Non-Prehensile Object Transport by Nonholonomic Robots Connected by Linear Deformable Elements
Zhi, H., Zhang, B., Qi, J., Romero, J. G., Shao, X., Yang, C., & Navarro-Alarcon, D. (2024). Non-Prehensile Object Transport by Nonholonomic Robots Connected by Linear Deformable Elements. IEEE Robotics and Automation Letters, 9(10), 8651-8658. doi:10.1109/lra.2024.3440096
Object-Level Stiffness Control for the Dexterous Hand in Limited Perception With Grasping Learning and Data Fusion
Chen, J., Zeng, C., Lin, S., & Yang, C. (2024). Object-Level Stiffness Control for the Dexterous Hand in Limited Perception With Grasping Learning and Data Fusion. IEEE Transactions on Industrial Electronics, 1-10. doi:10.1109/tie.2024.3404154
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring
Zhang, D., Fan, W., Lloyd, J., Yang, C., & Lepora, N. F. (2024). One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring. IEEE Transactions on Automation Science and Engineering, 21(1), 541-554. doi:10.1109/tase.2022.3220728
RAMPAGE: Toward Whole-Body, Real-Time, and Agile Motion Planning in Unknown Cluttered Environments for Mobile Manipulators
Yang, Y., Meng, F., Meng, Z., & Yang, C. (2024). RAMPAGE: Toward Whole-Body, Real-Time, and Agile Motion Planning in Unknown Cluttered Environments for Mobile Manipulators. IEEE Transactions on Industrial Electronics, 71(11), 14492-14502. doi:10.1109/tie.2024.3370969
Robot-Assisted Deep Venous Thrombosis Ultrasound Examination Using Virtual Fixture
Huang, D., Yang, C., Zhou, M., Karlas, A., Navab, N., & Jiang, Z. (2024). Robot-Assisted Deep Venous Thrombosis Ultrasound Examination Using Virtual Fixture. IEEE Transactions on Automation Science and Engineering, 1-12. doi:10.1109/tase.2024.3351076
Robust Grasping by Bimanual Robots With Stable Parameterization-Based Contact Servoing
Duan, A., Huo, S., Lee, H. -Y., Zhou, P., Romero, J. G., Yang, C., & Navarro-Alarcon, D. (2024). Robust Grasping by Bimanual Robots With Stable Parameterization-Based Contact Servoing. IEEE/ASME Transactions on Mechatronics, 29(5), 3924-3935. doi:10.1109/tmech.2024.3363699
Simultaneous Estimation of Human Motion Intention and Time-Varying Arm Stiffness for Enhanced Human-Robot Interaction
Wu, H., Zhu, C., Cheng, L., Yang, C., & Li, Y. (2024). Simultaneous Estimation of Human Motion Intention and Time-Varying Arm Stiffness for Enhanced Human-Robot Interaction. IEEE Transactions on Cognitive and Developmental Systems, 1-15. doi:10.1109/tcds.2024.3480854
Single-network based adaptive dynamic programming optimal control for robotic manipulator with joint limitation under input saturation
Li, B., Zhan, H., Zhang, X., & Yang, C. (n.d.). Single-network based adaptive dynamic programming optimal control for robotic manipulator with joint limitation under input saturation. International Journal of Systems Science, 1-16. doi:10.1080/00207721.2024.2370301
Stability Criterion and Stability Enhancement for a Thruster-Assisted Underwater Hexapod Robot
Chen, L., Cui, R., Yan, W., Yang, C., Li, Z., Xu, H., & Yu, H. (2024). Stability Criterion and Stability Enhancement for a Thruster-Assisted Underwater Hexapod Robot. IEEE Transactions on Robotics, 1-20. doi:10.1109/tro.2024.3492374
Trilateral Shared Control of a Dual-User Haptic Tele-Training System for a Hexapod Robot With Adaptive Authority Adjustment
Li, J., Yang, C., Ding, L., You, B., Li, W., Zhang, X., & Gao, H. (2024). Trilateral Shared Control of a Dual-User Haptic Tele-Training System for a Hexapod Robot With Adaptive Authority Adjustment. IEEE Transactions on Automation Science and Engineering, 1-16. doi:10.1109/tase.2024.3410522
2023
Design and Control of a Novel Bionic Mantis Shrimp Robot
Chen, G., Xu, Y., Yang, C., Yang, X., Hu, H., Chai, X., & Wang, D. (2023). Design and Control of a Novel Bionic Mantis Shrimp Robot. IEEE/ASME Transactions on Mechatronics, 28(6), 3376-3385. doi:10.1109/tmech.2023.3266778
Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Jin, Z., Si, W., Liu, A., Zhang, W. -A., Yu, L., & Yang, C. (2023). Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning. IEEE Transactions on Robotics, 39(6), 4520-4538. doi:10.1109/tro.2023.3303011
VERGNet: Visual Enhancement Guided Robotic Grasp Detection Under Low-Light Condition
Niu, M., Lu, Z., Chen, L., Yang, J., & Yang, C. (2023). VERGNet: Visual Enhancement Guided Robotic Grasp Detection Under Low-Light Condition. IEEE Robotics and Automation Letters, 8(12), 8541-8548. doi:10.1109/lra.2023.3330664
A review on energy efficiency in autonomous mobile robots
Wu, M., Yeong, C. F., Su, E. L. M., Holderbaum, W., & Yang, C. (2023). A review on energy efficiency in autonomous mobile robots. Robotic Intelligence and Automation, 43(6), 648-668. doi:10.1108/ria-05-2023-0060
A Unified Deep Imitation Learning and Control Framework for Robot-Assisted Sonography
Si, W., Guo, C., Wang, N., Yang, M., Harris, R., & Yang, C. (2023). A Unified Deep Imitation Learning and Control Framework for Robot-Assisted Sonography. In 2023 IEEE International Conference on Development and Learning (ICDL) (pp. 318-323). IEEE. doi:10.1109/icdl55364.2023.10364497
Composite dynamic movement primitives based on neural networks for human–robot skill transfer
Si, W., Wang, N., & Yang, C. (2023). Composite dynamic movement primitives based on neural networks for human–robot skill transfer. Neural Computing and Applications, 35(32), 23283-23293. doi:10.1007/s00521-021-05747-8
Iterative learning-based path control for robot-assisted upper-limb rehabilitation
Maqsood, K., Luo, J., Yang, C., Ren, Q., & Li, Y. (2023). Iterative learning-based path control for robot-assisted upper-limb rehabilitation. Neural Computing and Applications, 35(32), 23329-23341. doi:10.1007/s00521-021-06037-z
MechTac: A Multifunctional Tendon-Linked Optical Tactile Sensor for In/Out-the-Field-of-View Perception with Deep Learning
Lu, Z., Yue, T., Zhao, Z., Si, W., Wang, N., & Yang, C. (2023). MechTac: A Multifunctional Tendon-Linked Optical Tactile Sensor for In/Out-the-Field-of-View Perception with Deep Learning. In IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE. doi:10.1109/iecon51785.2023.10311762
Gesture-Based Human-Robot Interaction Framework for Teleoperation Control of Agricultural Robot
Li, J., Liu, H., Luo, X., Philip Chen, C. L., & Yang, C. (2023). Gesture-Based Human-Robot Interaction Framework for Teleoperation Control of Agricultural Robot. In 2023 IEEE International Conference on Unmanned Systems (ICUS) (pp. 1-6). IEEE. doi:10.1109/icus58632.2023.10318494
A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments
Zhang, X., Zhou, H., Liu, J., Ju, Z., Leng, Y., & Yang, C. (2023). A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments. Science China Technological Sciences, 66(10), 2882-2896. doi:10.1007/s11431-022-2436-y
Adaptive Fuzzy Prescribed-Time Connectivity-Preserving Consensus of Stochastic Nonstrict-Feedback Switched Multiagent Systems
Yi, J., Li, J., & Yang, C. (2023). Adaptive Fuzzy Prescribed-Time Connectivity-Preserving Consensus of Stochastic Nonstrict-Feedback Switched Multiagent Systems. IEEE Transactions on Fuzzy Systems, 31(10), 3346-3357. doi:10.1109/tfuzz.2023.3252601
Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties
Ding, F., Huang, J., Sun, C., Ai, Y., Xu, W., & Yang, C. (2023). Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties. Science China Technological Sciences, 66(10), 2917-2929. doi:10.1007/s11431-022-2340-y
Impedance Learning for Human-Guided Robots in Contact With Unknown Environments
Xing, X., Burdet, E., Si, W., Yang, C., & Li, Y. (2023). Impedance Learning for Human-Guided Robots in Contact With Unknown Environments. IEEE Transactions on Robotics, 39(5), 3705-3721. doi:10.1109/tro.2023.3281483
Learn to Coordinate: a Whole-Body Learning from Demonstration Framework for Differential Drive Mobile Manipulators
Yang, Y., Huang, D., Chen, C., Zeng, C., He, Y., & Yang, C. (2023). Learn to Coordinate: a Whole-Body Learning from Demonstration Framework for Differential Drive Mobile Manipulators. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 4208-4213). IEEE. doi:10.1109/smc53992.2023.10394442
Deterministic Learning of Manipulators With Closed Architecture Based on Outer-loop Speed Compensation Control
Wang, M., Lin, Z. X., Wang, C., & Yang, C. G. (2023). Deterministic Learning of Manipulators With Closed Architecture Based on Outer-loop Speed Compensation Control. Zidonghua Xuebao/Acta Automatica Sinica, 49(9), 1904-1914. doi:10.16383/j.aas.c220575
Gaussian process movement primitive
Jin, Z., Liu, A., Zhang, W. -A., Yu, L., & Yang, C. (2023). Gaussian process movement primitive. Automatica, 155, 111120. doi:10.1016/j.automatica.2023.111120
Multifingered Robot Hand Compliant Manipulation Based on Vision-Based Demonstration and Adaptive Force Control.
Zeng, C., Li, S., Chen, Z., Yang, C., Sun, F., & Zhang, J. (2023). Multifingered Robot Hand Compliant Manipulation Based on Vision-Based Demonstration and Adaptive Force Control.. IEEE transactions on neural networks and learning systems, 34(9), 5452-5463. doi:10.1109/tnnls.2022.3184258
Visual-Tactile Robot Grasping Based on Human Skill Learning From Demonstrations Using a Wearable Parallel Hand Exoskeleton
Lu, Z., Chen, L., Dai, H., Li, H., Zhao, Z., Zheng, B., . . . Yang, C. (2023). Visual-Tactile Robot Grasping Based on Human Skill Learning From Demonstrations Using a Wearable Parallel Hand Exoskeleton. IEEE Robotics and Automation Letters, 8(9), 5384-5391. doi:10.1109/lra.2023.3295296
A 3-DOF Haptic Feedback System for Displaying Sliding and Torsion Effects Detected by TacTip Sensor
Dai, H., Lu, Z., Yang, C., & Dai, S. (2023). A 3-DOF Haptic Feedback System for Displaying Sliding and Torsion Effects Detected by TacTip Sensor. In 2023 28th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.1109/icac57885.2023.10275181
MultiMap3D: A Multi-Level Semantic Perceptual Map Construction Based on SLAM and Point Cloud Detection
Zhou, J., Elksnis, A., Fu, Z., Chen, B., & Yang, C. (2023). MultiMap3D: A Multi-Level Semantic Perceptual Map Construction Based on SLAM and Point Cloud Detection. In 2023 28th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.1109/icac57885.2023.10275205
A constrained framework based on IBLF for robot learning with human supervision
Shi, D., Li, Q., Yang, C., & Lu, Z. (2023). A constrained framework based on IBLF for robot learning with human supervision. Robotica, 41(8), 2451-2463. doi:10.1017/s0263574723000462
A Two-Stage Perception System Calibration Algorithm for Quadruped Robots Using Factor Graph
Sun, L., Wu, K., Liu, Y., & Yang, C. (2023). A Two-Stage Perception System Calibration Algorithm for Quadruped Robots Using Factor Graph. IOS Press. doi:10.3233/atde230050
Overload Tracking Control for Hypersonic Flight Vehicle with Coupling Coordination
Guo, Y., Yang, C., & Xu, B. (2023). Overload Tracking Control for Hypersonic Flight Vehicle with Coupling Coordination. In 2023 42nd Chinese Control Conference (CCC) (pp. 781-786). IEEE. doi:10.23919/ccc58697.2023.10240784
An Assembly Sequence Planning Method Using Ant Colony Algorithm for Arbitrary Placed Workpieces
Hou, R., Xu, S., Yang, C., Zhu, B., & Duan, J. (2023). An Assembly Sequence Planning Method Using Ant Colony Algorithm for Arbitrary Placed Workpieces. In 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 140-145). IEEE. doi:10.1109/rcar58764.2023.10249862
A Teaching Mechanism of Supernumerary Robotic Limbs for Natural Human-robot Collaboration
Liu, S., Luo, J., Zeng, C., Lei, T., & Yang, C. (2023). A Teaching Mechanism of Supernumerary Robotic Limbs for Natural Human-robot Collaboration. In 2023 International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 883-888). IEEE. doi:10.1109/icarm58088.2023.10218763
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Wang, M., Bing, Z., Yao, X., Wang, S., Kai, H., Su, H., . . . Knoll, A. (2023). Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning. In Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 Vol. 37 (pp. 10157-10165).
A novel human-robot skill transfer method for contact-rich manipulation task
Dong, J., Si, W., & Yang, C. (2023). A novel human-robot skill transfer method for contact-rich manipulation task. Robotic Intelligence and Automation, 43(3), 327-337. doi:10.1108/ria-01-2023-0002
Missing data reconstruction in attitude for quadrotor unmanned aerial vehicle based on deep regression model with different sensor failures
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A Deep-Learning-Based Guidewire Compliant Control Method for the Endovascular Surgery Robot.
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Adaptive Neural Digital Control of Hysteretic Systems With Implicit Inverse Compensator and Its Application on Magnetostrictive Actuator.
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Distributed Cooperative Kinematic Control of Multiple Robotic Manipulators With an Improved Communication Efficiency
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Admittance control: learning from humans through collaborating with humans
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A Real-time Football Goalkeeper Robot System Based on Fuzzy Logic Control
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An Image Information-based Classification Method for Vascular Interventional Surgery Operating Skills
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Learning to Predict Action Based on B-ultrasound Image Information
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Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input Deadzone
Peng, G., Chen, C. L. P., He, W., & Yang, C. (2021). Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input Deadzone. IEEE Transactions on Industrial Electronics, 68(6), 5184-5196. doi:10.1109/tie.2020.2991929
Robust Neurooptimal Control for a Robot via Adaptive Dynamic Programming.
Kong, L., He, W., Yang, C., & Sun, C. (2021). Robust Neurooptimal Control for a Robot via Adaptive Dynamic Programming.. IEEE transactions on neural networks and learning systems, 32(6), 2584-2594. doi:10.1109/tnnls.2020.3006850
Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems
Na, J., Yang, J., Wang, S., Gao, G., & Yang, C. (2021). Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(6), 3832-3843. doi:10.1109/tsmc.2019.2931627
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks
Yang, C., Peng, G., Cheng, L., Na, J., & Li, Z. (2021). Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(5), 3282-3292. doi:10.1109/tsmc.2019.2920870
Unknown Object Segmentation through Domain Adaptation
Chen, Y., Li, M., & Yang, C. (2021). Unknown Object Segmentation through Domain Adaptation. In 2021 4th International Conference on Intelligent Autonomous Systems (ICoIAS) (pp. 72-77). IEEE. doi:10.1109/icoias53694.2021.00021
Bayesian Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration.
Yu, X., He, W., Li, Y., Xue, C., Li, J., Zou, J., & Yang, C. (2021). Bayesian Estimation of Human Impedance and Motion Intention for Human-Robot Collaboration.. IEEE transactions on cybernetics, 51(4), 1822-1834. doi:10.1109/tcyb.2019.2940276
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion
Wei, L., Jin, L., Yang, C., Chen, K., & Li, W. (2021). New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(4), 2611-2623. doi:10.1109/tsmc.2019.2916892
Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators.
Ogenyi, U. E., Liu, J., Yang, C., Ju, Z., & Liu, H. (2021). Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators.. IEEE transactions on cybernetics, 51(4), 1888-1901. doi:10.1109/tcyb.2019.2947532
A review on manipulation skill acquisition through teleoperation‐based learning from demonstration
Si, W., Wang, N., & Yang, C. (2021). A review on manipulation skill acquisition through teleoperation‐based learning from demonstration. Cognitive Computation and Systems, 3(1), 1-16. doi:10.1049/ccs2.12005
Adaptive dynamic programming enhanced admittance control for robots with environment interaction and actuator saturation
Zhan, H., Huang, D., & Yang, C. (2021). Adaptive dynamic programming enhanced admittance control for robots with environment interaction and actuator saturation. International Journal of Intelligent Robotics and Applications, 5(1), 89-100. doi:10.1007/s41315-020-00159-8
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback
Kong, L., He, W., Dong, Y., Cheng, L., Yang, C., & Li, Z. (2019). Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-12. doi:10.1109/tsmc.2019.2901277
Development of ReactRun:Advanced Universal IoT System for Agility Training in Sports and Healthcare
bin Abdullah, M. N., Yeong, C. F., Ming, E. S. L., bin Ramli, M. S., Khor, K. X., & Yang, C. (2021). Development of ReactRun:Advanced Universal IoT System for Agility Training in Sports and Healthcare. In 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 286-291). IEEE. doi:10.1109/iecbes48179.2021.9398743
Guest Editorial: Special Issue on Human-Friendly Cognitive Robotics
Yang, C., Wu, Y., Ficuciello, F., Wang, X., & Cangelosi, A. (2021). Guest Editorial: Special Issue on Human-Friendly Cognitive Robotics. IEEE Transactions on Cognitive and Developmental Systems, 13(1), 2-5. doi:10.1109/tcds.2020.3044691
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated
Jin, L., Xie, Z., Liu, M., Ke, C., Li, C., & Yang, C. (2020). Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated. IEEE/ASME Transactions on Mechatronics, 1. doi:10.1109/tmech.2020.3001624
A Human-Like Learning Framework of Robot Interaction Skills Based on Environmental Dynamics
Liu, H., Yang, C., & Dai, S. -L. (2021). A Human-Like Learning Framework of Robot Interaction Skills Based on Environmental Dynamics. In Unknown Conference (pp. 606-616). Springer International Publishing. doi:10.1007/978-3-030-89092-6_55
Learning compliant robotic movements based on biomimetic motor adaptation
Zeng, C., Chen, X., Wang, N., & Yang, C. (2021). Learning compliant robotic movements based on biomimetic motor adaptation. Robotics and Autonomous Systems, 135, 103668. doi:10.1016/j.robot.2020.103668
2020
Human-Robot Interaction Based on Biosignals
Liu, Y., Yang, C., & Wang, M. (2020). Human-Robot Interaction Based on Biosignals. In 2020 International Symposium on Autonomous Systems (ISAS) (pp. 58-63). IEEE. doi:10.1109/isas49493.2020.9378844
A Fast Compression Algorithm Based on the Variable Block for 3D Point Cloud Data
Wang, Z., Yang, C., & Cheng, L. (2020). A Fast Compression Algorithm Based on the Variable Block for 3D Point Cloud Data. In 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 1-6). IEEE. doi:10.1109/icarm49381.2020.9195390
Online Parameter Estimation For Uncertain Robot Manipulators With Fixed-time Convergence
Zhu, C., Jiang, Y., & Yang, C. (2020). Online Parameter Estimation For Uncertain Robot Manipulators With Fixed-time Convergence. In 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) (pp. 1808-1813). IEEE. doi:10.1109/iciea48937.2020.9248176
Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space
He, W., Xue, C., Yu, X., Li, Z., & Yang, C. (2020). Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space. IEEE Transactions on Automation Science and Engineering, 17(4), 1937-1949. doi:10.1109/tase.2020.2983225
Backstepping-based Adaptive Fault-Tolerant Control Design for Satellite Attitude System
Yan, K., Wu, Q., Yang, C., & Chen, M. (2020). Backstepping-based Adaptive Fault-Tolerant Control Design for Satellite Attitude System. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 176-181). IEEE. doi:10.1109/icuas48674.2020.9213890
Disturbance observer enhanced variable gain controller for robot teleoperation with motion capture using wearable armbands
Huang, D., Yang, C., Ju, Z., & Dai, S. -L. (2020). Disturbance observer enhanced variable gain controller for robot teleoperation with motion capture using wearable armbands. Autonomous Robots, 44(7), 1217-1231. doi:10.1007/s10514-020-09928-7
Hierarchical Task Impedance Control of a Serial Manipulator for Minimally Invasive Surgery
Su, H., Yang, C., Li, J., Jiang, Y., Ferrigno, G., & Momi, E. D. (2020). Hierarchical Task Impedance Control of a Serial Manipulator for Minimally Invasive Surgery. In 2020 IEEE International Conference on Human-Machine Systems (ICHMS) (pp. 1-6). IEEE. doi:10.1109/ichms49158.2020.9209500
PDE Control of Vehicle-mounted Flexible Link with Input Saturation and Disturbances
Xing, X., Liu, J., & Yang, C. (2020). PDE Control of Vehicle-mounted Flexible Link with Input Saturation and Disturbances. In 2020 10th International Conference on Information Science and Technology (ICIST) (pp. 24-29). IEEE. doi:10.1109/icist49303.2020.9202234
Recent advances in robot‐assisted echography: combining perception, control and cognition
Lu, Z., Li, M., Annamalai, A., & Yang, C. (2020). Recent advances in robot‐assisted echography: combining perception, control and cognition. Cognitive Computation and Systems, 2(3), 85-92. doi:10.1049/ccs.2020.0015
An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion.
Li, J., Zhong, J., Yang, J., & Yang, C. (2020). An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion.. Frontiers in neurorobotics, 14, 55. doi:10.3389/fnbot.2020.00055
A method of motion recognition based on electromyographic signals
Luo, J., Liu, C., Feng, Y., & Yang, C. (2020). A method of motion recognition based on electromyographic signals. Advanced Robotics, 34(15), 976-984. doi:10.1080/01691864.2020.1750480
Adaptive impedance control with trajectory adaptation for minimizing interaction force
Luo, J., Yang, C., Burdet, E., & Li, Y. (2020). Adaptive impedance control with trajectory adaptation for minimizing interaction force. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1360-1365). IEEE. doi:10.1109/ro-man47096.2020.9223572
Compliant Motion Adaptation with Dynamical System during Robot-Environment Interaction
Huang, H., Yang, C., & Su, C. -Y. (2020). Compliant Motion Adaptation with Dynamical System during Robot-Environment Interaction. In 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 2033-2038). IEEE. doi:10.1109/aim43001.2020.9158894
Robotic grasp detection using effective graspable feature selection and precise classification
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The Sliding Mode Preview Control for Continuous-Time Linear Systems with Faults
Jia, C., & Yang, C. (2020). The Sliding Mode Preview Control for Continuous-Time Linear Systems with Faults. In 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE) (pp. 136-142). IEEE. doi:10.1109/iccsse50399.2020.9171986
Hand Gesture Recognition in Complex Background Based on Convolutional Pose Machine and Fuzzy Gaussian Mixture Models
Zhang, T., Lin, H., Ju, Z., & Yang, C. (2020). Hand Gesture Recognition in Complex Background Based on Convolutional Pose Machine and Fuzzy Gaussian Mixture Models. International Journal of Fuzzy Systems, 22(4), 1330-1341. doi:10.1007/s40815-020-00825-w
Uncertainty and Disturbance Estimator-Based Control of a Flapping-Wing Aerial Vehicle With Unknown Backlash-Like Hysteresis
Yin, Z., He, W., Kaynak, O., Yang, C., Cheng, L., & Wang, Y. (2020). Uncertainty and Disturbance Estimator-Based Control of a Flapping-Wing Aerial Vehicle With Unknown Backlash-Like Hysteresis. IEEE Transactions on Industrial Electronics, 67(6), 4826-4835. doi:10.1109/tie.2019.2926055
A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller
Wang, N., Chen, C., & Yang, C. (2020). A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller. Neurocomputing, 390, 260-267. doi:10.1016/j.neucom.2019.04.100
Adaptive Neural Network Control of Underactuated Surface Vessels With Guaranteed Transient Performance: Theory and Experimental Results
Chen, L., Cui, R., Yang, C., & Yan, W. (2020). Adaptive Neural Network Control of Underactuated Surface Vessels With Guaranteed Transient Performance: Theory and Experimental Results. IEEE Transactions on Industrial Electronics, 67(5), 4024-4035. doi:10.1109/tie.2019.2914631
Adaptive dynamic programming-based controller with admittance adaptation for robot–environment interaction
Zhan, H., Huang, D., Chen, Z., Wang, M., & Yang, C. (2020). Adaptive dynamic programming-based controller with admittance adaptation for robot–environment interaction. International Journal of Advanced Robotic Systems, 17(3). doi:10.1177/1729881420924610
Disturbance Observer-Based Neural Network Control of Cooperative Multiple Manipulators With Input Saturation.
He, W., Sun, Y., Yan, Z., Yang, C., Li, Z., & Kaynak, O. (2020). Disturbance Observer-Based Neural Network Control of Cooperative Multiple Manipulators With Input Saturation.. IEEE transactions on neural networks and learning systems, 31(5), 1735-1746. doi:10.1109/tnnls.2019.2923241
A Teleoperation Framework for Mobile Robots Based on Shared Control
Luo, J., Lin, Z., Li, Y., & Yang, C. (2020). A Teleoperation Framework for Mobile Robots Based on Shared Control. IEEE Robotics and Automation Letters, 5(2), 377-384. doi:10.1109/lra.2019.2959442
Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation
Su, H., Qi, W., Yang, C., Sandoval, J., Ferrigno, G., & Momi, E. D. (2020). Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation. IEEE Robotics and Automation Letters, 5(2), 2943-2949. doi:10.1109/lra.2020.2974445
Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation
Peng, G., Yang, C., He, W., & Chen, C. L. P. (2020). Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation. IEEE Transactions on Industrial Electronics, 67(4), 3138-3148. doi:10.1109/tie.2019.2912781
T-S Fuzzy Adaptive Control Based on Small Gain Approach for an Uncertain Robot Manipulators
Fan, Y., An, Y., Wang, W., & Yang, C. (2020). T-S Fuzzy Adaptive Control Based on Small Gain Approach for an Uncertain Robot Manipulators. International Journal of Fuzzy Systems, 22(3), 930-942. doi:10.1007/s40815-019-00793-w
Information Entropy-Based Intention Prediction of Aerial Targets under Uncertain and Incomplete Information.
Zhou, T., Chen, M., Wang, Y., He, J., & Yang, C. (2020). Information Entropy-Based Intention Prediction of Aerial Targets under Uncertain and Incomplete Information.. Entropy (Basel, Switzerland), 22(3), E279. doi:10.3390/e22030279
Editorial: AI for Robot Modeling, Path Planning, and Intelligent Control.
Pan, Y., Al-Hadithi, B. M., & Yang, C. (2020). Editorial: AI for Robot Modeling, Path Planning, and Intelligent Control.. Frontiers in robotics and AI, 7, 19. doi:10.3389/frobt.2020.00019
Mixed Reality Enhanced User Interactive Path Planning for Omnidirectional Mobile Robot
Wu, M., Dai, S. -L., & Yang, C. (n.d.). Mixed Reality Enhanced User Interactive Path Planning for Omnidirectional Mobile Robot. Applied Sciences, 10(3), 1135. doi:10.3390/app10031135
A Hybrid Human Motion Prediction Approach for Human-Robot Collaboration
Li, Y., & Yang, C. (2020). A Hybrid Human Motion Prediction Approach for Human-Robot Collaboration. In Unknown Conference (pp. 81-91). Springer International Publishing. doi:10.1007/978-3-030-29933-0_7
A Method of Intention Estimation for Human-Robot Interaction
Luo, J., Liu, C., Wang, N., & Yang, C. (2020). A Method of Intention Estimation for Human-Robot Interaction. In Unknown Conference (pp. 69-80). Springer International Publishing. doi:10.1007/978-3-030-29933-0_6
Neural Learning Enhanced Variable Admittance Control for Human–Robot Collaboration
Chen, X., Wang, N., Cheng, H., & Yang, C. (2020). Neural Learning Enhanced Variable Admittance Control for Human–Robot Collaboration. IEEE Access, 8, 25727-25737. doi:10.1109/access.2020.2969085
Reinforcement Learning on Robot with Variational Auto-Encoder
Chen, Y., Yang, C., & Feng, Y. (2020). Reinforcement Learning on Robot with Variational Auto-Encoder. In Unknown Conference (pp. 675-684). Springer Singapore. doi:10.1007/978-981-15-0474-7_63
Robotic grasp detection based on image processing and random forest
Zhang, J., Li, M., Feng, Y., & Yang, C. (2020). Robotic grasp detection based on image processing and random forest. Multimedia Tools and Applications, 79(3-4), 2427-2446. doi:10.1007/s11042-019-08302-9
The Generalization of Robot Skills Based on Dynamic Movement Primitives
Li, X., Yang, C., & Feng, Y. (2020). The Generalization of Robot Skills Based on Dynamic Movement Primitives. In IFAC-PapersOnLine Vol. 53 (pp. 265-270). Elsevier BV. doi:10.1016/j.ifacol.2021.04.105
2019
A Novel Obstacle Collision Avoidance Strategy for Redundant Manipulator using Swivel Motion Control
Guo, K., Jiang, Y., Wu, X., & Yang, C. (2019). A Novel Obstacle Collision Avoidance Strategy for Redundant Manipulator using Swivel Motion Control. In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 533-538). IEEE. doi:10.1109/robio49542.2019.8961868
Admittance-Based Adaptive Cooperative Control for Multiple Manipulators With Output Constraints.
Li, Y., Yang, C., Yan, W., Cui, R., & Annamalai, A. (2019). Admittance-Based Adaptive Cooperative Control for Multiple Manipulators With Output Constraints.. IEEE transactions on neural networks and learning systems, 30(12), 3621-3632. doi:10.1109/tnnls.2019.2897847
Composite learning adaptive backstepping control using neural networks with compact supports
Pan, Y., Yang, C., Pratama, M., & Yu, H. (2019). Composite learning adaptive backstepping control using neural networks with compact supports. International Journal of Adaptive Control and Signal Processing, 33(12), 1726-1738. doi:10.1002/acs.3002
Disentanglement in conceptual space during sensorimotor interaction
Zhong, J., Ogata, T., Cangelosi, A., & Yang, C. (2019). Disentanglement in conceptual space during sensorimotor interaction. Cognitive Computation and Systems, 1(4), 103-112. doi:10.1049/ccs.2019.0007
Neural adaptive global stability control for robot manipulators with time‐varying output constraints
Fan, Y., Kang, T., Wang, W., & Yang, C. (2019). Neural adaptive global stability control for robot manipulators with time‐varying output constraints. International Journal of Robust and Nonlinear Control, 29(16), 5765-5780. doi:10.1002/rnc.4690
Adaptive Neural Admittance Control for Collision Avoidance in Human-Robot Collaborative Tasks
Yu, X., He, W., Xue, C., Li, B., Cheng, L., & Yang, C. (2019). Adaptive Neural Admittance Control for Collision Avoidance in Human-Robot Collaborative Tasks. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7574-7579). IEEE. doi:10.1109/iros40897.2019.8967720
Design of a Control Platform for Mobile Robot with SSVEP-BCI System
Liu, Y., Li, X., & Yang, C. (2019). Design of a Control Platform for Mobile Robot with SSVEP-BCI System. In 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) (pp. 198-203). IEEE. doi:10.1109/cis-ram47153.2019.9095824
Position Tracking for Continuum Robots with Joint Limit Constraints
Lin, D., Dong, X., & Yang, C. (2019). Position Tracking for Continuum Robots with Joint Limit Constraints. In 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI) (pp. 39-44). IEEE. doi:10.1109/icusai47366.2019.9124808
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Hu, H., Wang, H., Liu, Z., Yang, C., Chen, W., & Xie, L. (2019). Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3684-3689). IEEE. doi:10.1109/iros40897.2019.8968047
MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments
Zhang, Y., Liu, X., Luo, M., & Yang, C. (2019). MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments. Ocean Engineering, 189, 106309. doi:10.1016/j.oceaneng.2019.106309
Optimal Feature Selection for EMG-Based Finger Force Estimation Using LightGBM Model
Ye, Y., Liu, C., Zemiti, N., & Yang, C. (2019). Optimal Feature Selection for EMG-Based Finger Force Estimation Using LightGBM Model. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1-7). IEEE. doi:10.1109/ro-man46459.2019.8956453
A Teleoperated Shared Control Approach with Haptic Feedback for Mobile Assistive Robot
Lin, Z., Luo, J., & Yang, C. (2019). A Teleoperated Shared Control Approach with Haptic Feedback for Mobile Assistive Robot. In 2019 25th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.23919/iconac.2019.8895096
VFH Based Local Path Planning for Mobile Robot
Chen, W., Wang, N., Liu, X., & Yang, C. (2019). VFH Based Local Path Planning for Mobile Robot. In 2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI) (pp. 18-23). IEEE. doi:10.1109/cchi.2019.8901916
Adaptive Fuzzy Control for Coordinated Multiple Robots With Constraint Using Impedance Learning.
Kong, L., He, W., Yang, C., Li, Z., & Sun, C. (2019). Adaptive Fuzzy Control for Coordinated Multiple Robots With Constraint Using Impedance Learning.. IEEE transactions on cybernetics, 49(8), 3052-3063. doi:10.1109/tcyb.2018.2838573
Efficient 3D object recognition via geometric information preservation
Liu, H., Cong, Y., Yang, C., & Tang, Y. (2019). Efficient 3D object recognition via geometric information preservation. Pattern Recognition, 92, 135-145. doi:10.1016/j.patcog.2019.03.025
Obstacle Induced Stochastic Tree for Fast Path Planning
Liu, X., Li, J., Hu, F., & Yang, C. (2019). Obstacle Induced Stochastic Tree for Fast Path Planning. In 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 499-503). IEEE. doi:10.1109/rcar47638.2019.9044003
Robot Motion Skills Acquisition Method Based on GU-ProMPs and Reinforcement Learning
Fu, J., Wang, C., Du, J., Luo, F., & Yang, C. (2019). Robot Motion Skills Acquisition Method Based on GU-ProMPs and Reinforcement Learning. In 2019 WRC Symposium on Advanced Robotics and Automation (WRC SARA) (pp. 302-308). IEEE. doi:10.1109/wrc-sara.2019.8931921
Human robot collaborative intelligence
Yang, C., Liu, X., Zhong, J., & Cangelosi, A. (2019). Human robot collaborative intelligence. Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems, 20(1), 1-3. doi:10.1075/is.00002.int
Dual Arm Cooperation Based on Visual Servo Control
Gan, J., Yang, C., Cheng, L., & Feng, Y. (2019). Dual Arm Cooperation Based on Visual Servo Control. In 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 289-294). IEEE. doi:10.1109/cyber46603.2019.9066581
Fisher Loss: A More Discriminative Feature Learning Method in Classification
Ye, Y., Zhang, T., & Yang, C. (2019). Fisher Loss: A More Discriminative Feature Learning Method in Classification. In 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 746-751). IEEE. doi:10.1109/aim.2019.8868703
Global Neural Learning Finite-time Control of Robot Manipulators with Guaranteed Transient Tracking Performance
Chen, L., Cui, R., Yang, C., & Yan, W. (2019). Global Neural Learning Finite-time Control of Robot Manipulators with Guaranteed Transient Tracking Performance. In 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 660-665). IEEE. doi:10.1109/icarm.2019.8834000
Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping
Lin, H., Zhang, T., Chen, Z., Song, H., & Yang, C. (2019). Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping. International Journal of Fuzzy Systems, 21(4), 1026-1037. doi:10.1007/s40815-018-00604-8
Shared Control For Omnidirectional Mobile Robots
Chen, W., Yang, C., & Feng, Y. (2019). Shared Control For Omnidirectional Mobile Robots. In 2019 Chinese Control And Decision Conference (CCDC) (pp. 6185-6190). IEEE. doi:10.1109/ccdc.2019.8833017
A Robot Learning Method with Physiological Interface for Teleoperation Systems
Luo, J., Yang, C., Su, H., & Liu, C. (n.d.). A Robot Learning Method with Physiological Interface for Teleoperation Systems. Applied Sciences, 9(10), 2099. doi:10.3390/app9102099
A Method to Track and Acquire the 3D Point Cloud Data of Object
Wang, Z., Yang, C., Cong, Y., & Li, Z. (2018). A Method to Track and Acquire the 3D Point Cloud Data of Object. In 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 1334-1339). IEEE. doi:10.1109/cyber.2018.8688236
A Task Learning Mechanism for the Telerobots
Luo, J., Yang, C., Li, Q., & Wang, M. (2019). A Task Learning Mechanism for the Telerobots. International Journal of Humanoid Robotics, 16(02), 1950009. doi:10.1142/s0219843619500099
Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery
Su, H., Yang, C., Ferrigno, G., & De Momi, E. (2019). Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery. IEEE Robotics and Automation Letters, 4(2), 1447-1453. doi:10.1109/lra.2019.2897145
An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions
Xia, J., Zhang, Y., Yang, C., Wang, M., & Annamalai, A. (2019). An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions. International Journal of Systems Science, 50(3), 638-651. doi:10.1080/00207721.2019.1567863
Enhanced teleoperation performance using hybrid control and virtual fixture
Luo, J., Yang, C., Wang, N., & Wang, M. (2019). Enhanced teleoperation performance using hybrid control and virtual fixture. International Journal of Systems Science, 50(3), 451-462. doi:10.1080/00207721.2018.1562128
A Novel Robot Teaching System Based on Mixed Reality
Xu, Y., Yang, C., Liu, X., & Li, Z. (2018). A Novel Robot Teaching System Based on Mixed Reality. In 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 250-255). IEEE. doi:10.1109/icarm.2018.8610861
A Hybrid Path Planning Method for Mobile Robot Based on Artificial Potential Field Method
Kong, H., Yang, C., Ju, Z., & Liu, J. (2019). A Hybrid Path Planning Method for Mobile Robot Based on Artificial Potential Field Method. In Unknown Conference (pp. 325-331). Springer International Publishing. doi:10.1007/978-3-030-27529-7_28
An Auto-Correction Teleoperation Method for a Mobile Manipulator Using Gaze Tracking and Hand Motion Detection
Chen, J., Ji, Z., Niu, H., Setchi, R., & Yang, C. (2019). An Auto-Correction Teleoperation Method for a Mobile Manipulator Using Gaze Tracking and Hand Motion Detection. In Unknown Conference (pp. 422-433). Springer International Publishing. doi:10.1007/978-3-030-25332-5_36
Obstacle Avoidance of a Redundant Robot Using Virtual Force Field and Null Space Projection
Jiang, Y., Yang, C., Ju, Z., & Liu, J. (2019). Obstacle Avoidance of a Redundant Robot Using Virtual Force Field and Null Space Projection. In Unknown Conference (pp. 728-739). Springer International Publishing. doi:10.1007/978-3-030-27526-6_64
2018
Emotion-Aroused Human Behaviors Perception Using RNNPB
Li, J., Yang, C., Zhong, J., & Dai, S. (2018). Emotion-Aroused Human Behaviors Perception Using RNNPB. In 2018 10th International Conference on Modelling, Identification and Control (ICMIC) (pp. 1-6). IEEE. doi:10.1109/icmic.2018.8529875
Head-Raising of Snake Robots Based on a Predefined Spiral Curve Method
Zhang, X., Liu, J., Ju, Z., & Yang, C. (n.d.). Head-Raising of Snake Robots Based on a Predefined Spiral Curve Method. Applied Sciences, 8(11), 2011. doi:10.3390/app8112011
Control Design of a Marine Vessel System Using Reinforcement Learning
Yin, Z., He, W., Yang, C., & Sun, C. (2018). Control Design of a Marine Vessel System Using Reinforcement Learning. Neurocomputing, 311, 353-362. doi:10.1016/j.neucom.2018.05.061
Adaptive Control of a Marine Vessel Based on Reinforcement Learning
Yin, Z., He, W., Sun, C., Li, G., & Yang, C. (2018). Adaptive Control of a Marine Vessel Based on Reinforcement Learning. In 2018 37th Chinese Control Conference (CCC) (pp. 2735-2740). IEEE. doi:10.23919/chicc.2018.8482656
Compliant Impedance Control for a Redundant Manipulator During Human Robot Interaction
Jiang, Y., Yang, C., Ju, Z., Annamalai, A., & Liu, H. (2018). Compliant Impedance Control for a Redundant Manipulator During Human Robot Interaction. In 2018 24th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.23919/iconac.2018.8749048
Guaranteed Transient Response Control for a Marine Vessel with Time-varying Constraint by Fuzzy Approximator
Kong, L., He, W., Yang, C., & Li, G. (2018). Guaranteed Transient Response Control for a Marine Vessel with Time-varying Constraint by Fuzzy Approximator. In 2018 Annual American Control Conference (ACC) (pp. 6784-6789). IEEE. doi:10.23919/acc.2018.8430986
Composite Learning for Trajectory Tracking Control of Robot Manipulators with Output Constraints
Huang, D., Yang, C., Pan, Y., Dai, S., & Ju, Z. (2018). Composite Learning for Trajectory Tracking Control of Robot Manipulators with Output Constraints. In 2018 Eighth International Conference on Information Science and Technology (ICIST) (pp. 301-306). IEEE. doi:10.1109/icist.2018.8426181
3D Printed Data Glove Design for VR Based Hand Gesture Recognition
Oqua, O. I., Chen, J., Annamalai, A., & Yang, C. (2018). 3D Printed Data Glove Design for VR Based Hand Gesture Recognition. In 2018 11th International Workshop on Human Friendly Robotics (HFR) (pp. 66-71). IEEE. doi:10.1109/hfr.2018.8633511
Mechatronic Design and Control of a 3D Printed Low Cost Robotic Upper Limb
Carter-Davies, D., Chen, J., Chen, F., Li, M., & Yang, C. (2018). Mechatronic Design and Control of a 3D Printed Low Cost Robotic Upper Limb. In 2018 11th International Workshop on Human Friendly Robotics (HFR) (pp. 1-6). IEEE. doi:10.1109/hfr.2018.8633519
Omnidirectional Mobile Robot Control based on Mixed Reality and sEMG Signals
Wu, M., Xu, Y., Yang, C., & Feng, Y. (2018). Omnidirectional Mobile Robot Control based on Mixed Reality and sEMG Signals. In 2018 Chinese Automation Congress (CAC) (pp. 1867-1872). IEEE. doi:10.1109/cac.2018.8623114
The Application of Transfer Learning in P300 Detection
Liu, Y., Yang, C., & Li, Z. (2018). The Application of Transfer Learning in P300 Detection. In 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS) (pp. 412-417). IEEE. doi:10.1109/cbs.2018.8612222
Integral Sliding Mode Control: Performance, Modification, and Improvement
Pan, Y., Yang, C., Pan, L., & Yu, H. (2018). Integral Sliding Mode Control: Performance, Modification, and Improvement. IEEE Transactions on Industrial Informatics, 14(7), 3087-3096. doi:10.1109/tii.2017.2761389
Influence of noise on transfer learning in Chinese sentiment classification using GRU
Dai, M., Huang, S., Zhong, J., Yang, C., & Yang, S. (2017). Influence of noise on transfer learning in Chinese sentiment classification using GRU. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 1844-1849). IEEE. doi:10.1109/fskd.2017.8393047
Tremor attenuation for surgical robots using support vector machine with parameters optimization
Luo, J., Yang, C., Dai, S. -L., & Liu, Z. (2018). Tremor attenuation for surgical robots using support vector machine with parameters optimization. In 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI) (pp. 667-672). IEEE. doi:10.1109/icaci.2018.8377539
A Neural-Network-Based Controller for Piezoelectric-Actuated Stick–Slip Devices
Cheng, L., Liu, W., Yang, C., Huang, T., Hou, Z. -G., & Tan, M. (2018). A Neural-Network-Based Controller for Piezoelectric-Actuated Stick–Slip Devices. IEEE Transactions on Industrial Electronics, 65(3), 2598-2607. doi:10.1109/tie.2017.2740826
Robot teaching by teleoperation based on visual interaction and extreme learning machine
Xu, Y., Yang, C., Zhong, J., Wang, N., & Zhao, L. (2018). Robot teaching by teleoperation based on visual interaction and extreme learning machine. Neurocomputing, 275, 2093-2103. doi:10.1016/j.neucom.2017.10.034
An Intuitive Robot Learning from Human Demonstration
Ogenyi, U. E., Zhang, G., Yang, C., Ju, Z., & Liu, H. (2018). An Intuitive Robot Learning from Human Demonstration. In Unknown Conference (pp. 176-185). Springer International Publishing. doi:10.1007/978-3-319-97586-3_16
Decentralized Adaptive Synchronization of a Class of Discrete-Time Coupled Hidden Leader–Follower Multi-agent Systems
Zhang, X., Ma, H., Li, N., Yang, C., & Wu, M. (2018). Decentralized Adaptive Synchronization of a Class of Discrete-Time Coupled Hidden Leader–Follower Multi-agent Systems. In Unknown Conference (pp. 251-271). Springer Singapore. doi:10.1007/978-981-10-7212-3_16
Grasping Novel Objects with Real-Time Obstacle Avoidance
Zhang, J., Yang, C., Li, M., & Feng, Y. (2018). Grasping Novel Objects with Real-Time Obstacle Avoidance. In Unknown Conference (pp. 160-169). Springer International Publishing. doi:10.1007/978-3-030-05204-1_16
2017
Neural-learning enhanced admittance control of a robot manipulator with input saturation
Peng, G., Yang, C., He, W., Li, Z., & Kuang, D. (2017). Neural-learning enhanced admittance control of a robot manipulator with input saturation. In 2017 Chinese Automation Congress (CAC) (pp. 104-109). IEEE. doi:10.1109/cac.2017.8242745
Automating Active Stereo Vision Calibration Process with Cobots
Mohamed, A., Culverhouse, P. F., De Azambuja, R., Cangelosi, A., & Yang, C. (2017). Automating Active Stereo Vision Calibration Process with Cobots. In IFAC-PapersOnLine Vol. 50 (pp. 163-168). Elsevier BV. doi:10.1016/j.ifacol.2017.12.030
Composite adaptive locally weighted learning control for multi-constraint nonlinear systems
Sun, T., Pan, Y., & Yang, C. (2017). Composite adaptive locally weighted learning control for multi-constraint nonlinear systems. Applied Soft Computing, 61, 1098-1104. doi:10.1016/j.asoc.2017.09.011
The design of multi-task simulation manipulator based on motor imagery EEG
Ye, Y., Yang, C., Li, X., Ju, Z., & Li, Z. (2017). The design of multi-task simulation manipulator based on motor imagery EEG. In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3284-3289). IEEE. doi:10.1109/smc.2017.8123135
Decentralised adaptive control of a class of hidden leader–follower non‐linearly parameterised coupled MASs
Zhang, X., Ma, H., & Yang, C. (2017). Decentralised adaptive control of a class of hidden leader–follower non‐linearly parameterised coupled MASs. IET Control Theory & Applications, 11(17), 3016-3025. doi:10.1049/iet-cta.2017.0644
Development of a mixed reality based interface for human robot interaciotn
Cousins, M., Yang, C., Chen, J., He, W., & Ju, Z. (2017). Development of a mixed reality based interface for human robot interaciotn. In 2017 International Conference on Machine Learning and Cybernetics (ICMLC) (pp. 27-34). IEEE. doi:10.1109/icmlc.2017.8107738
Fuzzy control for a MIMO nonlinear system with state constraints
Kong, L., He, W., Dong, Y., You, W., Yang, C., & Li, G. (2017). Fuzzy control for a MIMO nonlinear system with state constraints. In 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS) (pp. 338-343). IEEE. doi:10.1109/iccss.2017.8091436
DMP and GMR based teaching by demonstration for a KUKA LBR robot
Hewitt, A., Yang, C., Li, Y., & Cui, R. (2017). DMP and GMR based teaching by demonstration for a KUKA LBR robot. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.23919/iconac.2017.8081982
Bounded control of robotic manipulators via fuzzy logic systems
Kong, L., He, W., Dong, Y., Yang, C., & Li, G. (2017). Bounded control of robotic manipulators via fuzzy logic systems. In 2017 36th Chinese Control Conference (CCC) (pp. 140-144). IEEE. doi:10.23919/chicc.2017.8027334
Learning control of flexible manipulator with unknown dynamics
Chen, Z., Yang, C., Liu, X., & Wang, M. (2017). Learning control of flexible manipulator with unknown dynamics. Assembly Automation, 37(3), 304-313. doi:10.1108/aa-11-2016-148
A robot navigation method based on human-robot interaction for 3D environment mapping
Zhao, L., Li, X., Sun, Z., Wang, K., & Yang, C. (2017). A robot navigation method based on human-robot interaction for 3D environment mapping. In 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 409-414). IEEE. doi:10.1109/rcar.2017.8311896
Manipulation of a robot arm in 3D space by using EEG signals
Wu, H., Yang, C., Wang, N., He, W., & Su, C. -Y. (2017). Manipulation of a robot arm in 3D space by using EEG signals. In 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 608-613). IEEE. doi:10.1109/icarm.2017.8273232
Robot hand learning from multiple demonstrations using dynamics motor primitives
Huang, R., Yang, C., Yang, F., & Li, Z. (2017). Robot hand learning from multiple demonstrations using dynamics motor primitives. In 2017 International Conference on Advanced Mechatronic Systems (ICAMechS) (pp. 1-6). IEEE. doi:10.1109/icamechs.2017.8316540
Robot teaching by teleoperation based on visual interaction and neural network learning
Xu, Y., Yang, C., Zhong, J., Ma, H., Zhao, L., & Wang, M. (2017). Robot teaching by teleoperation based on visual interaction and neural network learning. In 2017 9th International Conference on Modelling, Identification and Control (ICMIC) (pp. 1068-1073). IEEE. doi:10.1109/icmic.2017.8321615
Structure modelling of the human body using FGMM
Lin, H., Yang, C., Chen, S., Wang, N., Wang, M., & Ju, Z. (2017). Structure modelling of the human body using FGMM. In 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) (pp. 809-814). IEEE. doi:10.1109/iccis.2017.8274883
Understanding natural language sentences with word embedding and multi-modal interaction
Zhong, J., Ogata, T., Cangelosi, A., & Yang, C. (2017). Understanding natural language sentences with word embedding and multi-modal interaction. In 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) (pp. 184-189). IEEE. doi:10.1109/devlrn.2017.8329805
Development of Sensory-Motor Fusion-Based Manipulation and Grasping Control for a Robotic Hand-Eye System
Hu, Y., Li, Z., Li, G., Yuan, P., Yang, C., & Song, R. (2016). Development of Sensory-Motor Fusion-Based Manipulation and Grasping Control for a Robotic Hand-Eye System. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-12. doi:10.1109/tsmc.2016.2560530
Impedance matching strategy for physical human robot interaction control
Chen, X., Yang, C., Fang, C., & Li, Z. (2017). Impedance matching strategy for physical human robot interaction control. In 2017 13th IEEE Conference on Automation Science and Engineering (CASE) (pp. 138-144). IEEE. doi:10.1109/coase.2017.8256093
Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking
Zhou, X., Liu, X., Yang, C., Jiang, A., & Yan, B. (2017). Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking. IEEE Access, 5, 12856-12864. doi:10.1109/access.2017.2720746
Improving Video Segmentation by Fusing Depth Cues and the Visual Background Extractor (ViBe) Algorithm.
Zhou, X., Liu, X., Jiang, A., Yan, B., & Yang, C. (2017). Improving Video Segmentation by Fusing Depth Cues and the Visual Background Extractor (ViBe) Algorithm.. Sensors (Basel, Switzerland), 17(5), E1177. doi:10.3390/s17051177
Virtual simulation-based scene modeling of helicopter earthquake search and rescue
Sun, X., Liu, H., Yang, C., & Wang, N. (2017). Virtual simulation-based scene modeling of helicopter earthquake search and rescue. In AIP Conference Proceedings Vol. 1839 (pp. 020140). Author(s). doi:10.1063/1.4982505
Discrete-time optimal adaptive RBFNN control for robot manipulators with uncertain dynamics
Yang, R., Yang, C., Chen, M., & Annamalai, A. S. K. (2017). Discrete-time optimal adaptive RBFNN control for robot manipulators with uncertain dynamics. Neurocomputing, 234, 107-115. doi:10.1016/j.neucom.2016.12.048
Adaptive Neural Network Based Variable Stiffness Control of Uncertain Robotic Systems Using Disturbance Observer
Zhang, L., Li, Z., & Yang, C. (2017). Adaptive Neural Network Based Variable Stiffness Control of Uncertain Robotic Systems Using Disturbance Observer. IEEE Transactions on Industrial Electronics, 64(3), 2236-2245. doi:10.1109/tie.2016.2624260
Motion Detection Enhanced Control of an Upper Limb Exoskeleton Robot for Rehabilitation Training
Ye, W., Li, Z., Yang, C., Chen, F., & Su, C. -Y. (2017). Motion Detection Enhanced Control of an Upper Limb Exoskeleton Robot for Rehabilitation Training. International Journal of Humanoid Robotics, 14(01), 1650031. doi:10.1142/s0219843616500316
Robot manipulator self-identification for surrounding obstacle detection
Wang, X., Yang, C., Ju, Z., Ma, H., & Fu, M. (2017). Robot manipulator self-identification for surrounding obstacle detection. Multimedia Tools and Applications, 76(5), 6495-6520. doi:10.1007/s11042-016-3275-8
Adaptive neural network control of a robotic manipulator with unknown backlash‐like hysteresis
He, W., Ofosu Amoateng, D., Yang, C., & Gong, D. (2017). Adaptive neural network control of a robotic manipulator with unknown backlash‐like hysteresis. IET Control Theory & Applications, 11(4), 567-575. doi:10.1049/iet-cta.2016.1058
Tracking control of a marine surface vessel with full-state constraints
Yin, Z., He, W., & Yang, C. (2017). Tracking control of a marine surface vessel with full-state constraints. International Journal of Systems Science, 48(3), 535-546. doi:10.1080/00207721.2016.1193255
Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot
Qiu, S., Li, Z., He, W., Zhang, L., Yang, C., & Su, C. -Y. (2017). Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot. IEEE Transactions on Fuzzy Systems, 25(1), 58-69. doi:10.1109/tfuzz.2016.2566676
Human Cooperative Wheelchair With Brain–Machine Interaction Based on Shared Control Strategy
Li, Z., Zhao, S., Duan, J., Su, C. -Y., Yang, C., & Zhao, X. (2017). Human Cooperative Wheelchair With Brain–Machine Interaction Based on Shared Control Strategy. IEEE/ASME Transactions on Mechatronics, 22(1), 185-195. doi:10.1109/tmech.2016.2606642
Teleoperation control of Baxter robot based on human motion capture
Peng, G., Yang, C., Jiang, Y., Cheng, L., & Liang, P. (2016). Teleoperation control of Baxter robot based on human motion capture. In 2016 IEEE International Conference on Information and Automation (ICIA) (pp. 1026-1031). IEEE. doi:10.1109/icinfa.2016.7831970
Adaptive impedance control of robot manipulators based on Q-learning and disturbance observer
Yang, R., Yang, C., Chen, M., & Na, J. (2017). Adaptive impedance control of robot manipulators based on Q-learning and disturbance observer. Systems Science & Control Engineering, 5(1), 287-300. doi:10.1080/21642583.2017.1347532
Development of an Immersive Interface for Robot Teleoperation
Chen, J., Glover, M., Yang, C., Li, C., Li, Z., & Cangelosi, A. (2017). Development of an Immersive Interface for Robot Teleoperation. In Unknown Conference (pp. 1-15). Springer International Publishing. doi:10.1007/978-3-319-64107-2_1
Dexterous Hand Motion Classification and Recognition Based on Multimodal Sensing
Xue, Y., Ju, Z., Xiang, K., Yang, C., & Liu, H. (2017). Dexterous Hand Motion Classification and Recognition Based on Multimodal Sensing. In Unknown Conference (pp. 450-461). Springer International Publishing. doi:10.1007/978-3-319-65289-4_43
Model Identification and Control Design for a Humanoid Robot
He, W., Ge, W., Li, Y., Liu, Y. -J., Yang, C., & Sun, C. (2017). Model Identification and Control Design for a Humanoid Robot. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1), 45-57. doi:10.1109/tsmc.2016.2557227
Robust Stabilization of a Wheeled Mobile Robot Using Model Predictive Control Based on Neurodynamics Optimization
Xiao, H., Li, Z., Yang, C., Zhang, L., Yuan, P., Ding, L., & Wang, T. (2017). Robust Stabilization of a Wheeled Mobile Robot Using Model Predictive Control Based on Neurodynamics Optimization. IEEE Transactions on Industrial Electronics, 64(1), 505-516. doi:10.1109/tie.2016.2606358
Teleoperation control of Baxter robot using Kalman filter-based sensor fusion
Li, C., Yang, C., Wan, J., Annamalai, A. S. K., & Cangelosi, A. (2017). Teleoperation control of Baxter robot using Kalman filter-based sensor fusion. Systems Science & Control Engineering, 5(1), 156-167. doi:10.1080/21642583.2017.1300109
Transient Tracking Performance Guaranteed Neural Control of Robotic Manipulators with Finite-Time Learning Convergence
Teng, T., Yang, C., He, W., Na, J., & Li, Z. (2017). Transient Tracking Performance Guaranteed Neural Control of Robotic Manipulators with Finite-Time Learning Convergence. In Unknown Conference (pp. 365-375). Springer International Publishing. doi:10.1007/978-3-319-70136-3_39
2016
Adaptive RBFNN control of robot manipulators with finite-time convergence
Yang, C., Runxian Yang., Jing Na., & Fei Chen. (2016). Adaptive RBFNN control of robot manipulators with finite-time convergence. In IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society (pp. 42-47). IEEE. doi:10.1109/iecon.2016.7792980
Kinematics modeling of Geomagic Touch X haptic device based on adaptive parameter identification
Jiang, Y., Yang, C., Wang, X., & Su, C. -Y. (2016). Kinematics modeling of Geomagic Touch X haptic device based on adaptive parameter identification. In 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 295-300). IEEE. doi:10.1109/rcar.2016.7784042
Deterministic learning enhanced neutral network control of unmanned helicopter
Jiang, Y., Yang, C., Dai, S. -L., & Ren, B. (2016). Deterministic learning enhanced neutral network control of unmanned helicopter. International Journal of Advanced Robotic Systems, 13(6). doi:10.1177/1729881416671118
Development of a robotic teaching interface for human to human skill transfer
Yang, C., Liang, P., Ajoudani, A., Li, Z., & Bicchi, A. (2016). Development of a robotic teaching interface for human to human skill transfer. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 710-716). IEEE. doi:10.1109/iros.2016.7759130
RBFNN based adaptive control of uncertain robot manipulators in discrete time
Yang, R., Yang, C., Chen, M., & Na, J. (2016). RBFNN based adaptive control of uncertain robot manipulators in discrete time. In 2016 UKACC 11th International Conference on Control (CONTROL) (pp. 1-6). IEEE. doi:10.1109/control.2016.7737617
Development of Kinect based teleoperation of Nao robot
Li, C., Yang, C., Liang, P., Cangelosi, A., & Wan, J. (2016). Development of Kinect based teleoperation of Nao robot. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 133-138). IEEE. doi:10.1109/icarm.2016.7606908
Neural learning enhanced teleoperation control of Baxter robot using IMU based Motion Capture
Yang, C., Chen, J., & Chen, F. (2016). Neural learning enhanced teleoperation control of Baxter robot using IMU based Motion Capture. In 2016 22nd International Conference on Automation and Computing (ICAC) (pp. 389-394). IEEE. doi:10.1109/iconac.2016.7604951
Transient tracking performance guaranteed global NN control of robot manipulator
Yang, C., Jiang, Y., Li, Z., He, W., & Su, C. -Y. (2016). Transient tracking performance guaranteed global NN control of robot manipulator. In 2016 12th World Congress on Intelligent Control and Automation (WCICA) (pp. 2092-2097). IEEE. doi:10.1109/wcica.2016.7578455
Development of a dynamics model for the Baxter robot
Smith, A., Yang, C., Li, C., Ma, H., & Zhao, L. (2016). Development of a dynamics model for the Baxter robot. In 2016 IEEE International Conference on Mechatronics and Automation. IEEE. doi:10.1109/icma.2016.7558740
Development of a biofeedback enhanced multimedia game
Wu, H., Yang, C., Wang, R., & Su, C. -Y. (2016). Development of a biofeedback enhanced multimedia game. In 2016 Chinese Control and Decision Conference (CCDC) (pp. 4987-4992). IEEE. doi:10.1109/ccdc.2016.7531886
Neural learning enhanced teleoperation control of robots with uncertainties
Yang, C., Chen, J., & Cheng, L. (2016). Neural learning enhanced teleoperation control of robots with uncertainties. In 2016 9th International Conference on Human System Interactions (HSI) (pp. 223-228). IEEE. doi:10.1109/hsi.2016.7529635
A Bioinspired Feature-Projection-Based Approach to Electromyographic Pattern Recognition Based for High Dimensional Sparse Sensor Data
Schiboni, G., Liang, P., Yang, C., Chen, L., & Dogramadzi, S. (2015). A Bioinspired Feature-Projection-Based Approach to Electromyographic Pattern Recognition Based for High Dimensional Sparse Sensor Data. In 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) (pp. 1706-1711). IEEE. doi:10.1109/uic-atc-scalcom-cbdcom-iop.2015.310
Guest Editorial An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications
Li, Z., Yang, C., & Burdet, E. (2016). Guest Editorial An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(7), 869-874. doi:10.1109/tsmc.2016.2571786
Vision-Based Model Predictive Control for Steering of a Nonholonomic Mobile Robot
Li, Z., Yang, C., Su, C. -Y., Deng, J., & Zhang, W. (2015). Vision-Based Model Predictive Control for Steering of a Nonholonomic Mobile Robot. IEEE Transactions on Control Systems Technology, 1. doi:10.1109/tcst.2015.2454484
A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation
Liang, P., Yang, C., Wang, N., & Li, R. (2016). A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation. Discrete Dynamics in Nature and Society, 2016, 1-11. doi:10.1155/2016/6897030
A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems
Jiang, Y., Yang, C., & Ma, H. (2016). A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems. Discrete Dynamics in Nature and Society, 2016, 1-11. doi:10.1155/2016/7217364
Advanced Technologies in Modern Robotic Applications
Yang, C., Ma, H., & Fu, M. (2016). Advanced Technologies in Modern Robotic Applications. Springer Singapore. doi:10.1007/978-981-10-0830-6
Mechatronic Design of a Human Robot Coupling Interface for Teaching by Demonstration
Liang, P., Yang, C., Wang, N., Li, Z., & Li, R. (2016). Mechatronic Design of a Human Robot Coupling Interface for Teaching by Demonstration. In IFAC-PapersOnLine Vol. 49 (pp. 675-680). Elsevier BV. doi:10.1016/j.ifacol.2016.10.678
Object Property Identification Using Uncertain Robot Manipulator
Huang, K., Yang, C., & Cheng, H. (2016). Object Property Identification Using Uncertain Robot Manipulator. In Unknown Conference (pp. 174-188). Springer Singapore. doi:10.1007/978-981-10-3002-4_15
Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate
Wang, Y., Cheng, L., Yang, C., Hou, Z., & Tan, M. (2016). Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate. Science China Technological Sciences, 59(1), 45-54. doi:10.1007/s11431-015-5975-0
Stereo Vision based Object Tracking Control for a Movable Robot Head
Mohamed, A., Yang, C., & Cangelosi, A. (2016). Stereo Vision based Object Tracking Control for a Movable Robot Head. In IFAC-PapersOnLine Vol. 49 (pp. 155-162). Elsevier BV. doi:10.1016/j.ifacol.2016.07.106
2015
Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator
Wang, X., Yang, C., Ma, H., & Cheng, L. (2015). Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4575-4580). IEEE. doi:10.1109/iros.2015.7354028
Mind guided motion control of robot manipulator using EEG signals
Malki, A., Yang, C., Wang, N., & Li, Z. (2015). Mind guided motion control of robot manipulator using EEG signals. In 2015 5th International Conference on Information Science and Technology (ICIST) (pp. 553-558). IEEE. doi:10.1109/icist.2015.7289033
Writing skills transfer from human to robot using stiffness extracted from sEMG
Liang, P., Yang, C., Li, Z., & Li, R. (2015). Writing skills transfer from human to robot using stiffness extracted from sEMG. In 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 19-24). IEEE. doi:10.1109/cyber.2015.7287903
Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.
Xu, B., Yang, C., & Pan, Y. (2015). Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.. IEEE transactions on neural networks and learning systems, 26(10), 2563-2575. doi:10.1109/tnnls.2015.2456972
Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization
Li, Z., Xiao, H., Yang, C., & Zhao, Y. (2015). Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(10), 1313-1321. doi:10.1109/tsmc.2015.2398833
Model identification and adaptive control design for a 6 DOFs manipulator
Ge, W., He, W., Li, Y., & Yang, C. (2015). Model identification and adaptive control design for a 6 DOFs manipulator. In 2015 International Conference on Advanced Mechatronic Systems (ICAMechS) (pp. 461-466). IEEE. doi:10.1109/icamechs.2015.7287155
Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum Robot.
Ye, W., Li, Z., Yang, C., Sun, J., Su, C. -Y., & Lu, R. (2016). Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum Robot.. IEEE transactions on cybernetics, 46(11), 2423-2434. doi:10.1109/tcyb.2015.2478154
Development of a physiological signals enhanced teleoperation strategy
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Obstacle Avoidance for Kinematically Redundant Robot**This work was supported in part by EPSRC grant EP/L026856/1, Royal Society grant IE130681, Guangdong Provincial Natural Science Foundation of China under Grant 2014A030313266, State Key Laboratory of Robotics and System (HIT) SKLRS-2014-MS-05, and National Natural Science Foundation (NNSF) of China under Grants 61473120 and 61473038.****Corresponding authors are C. Yang and H. Ma. Email: cyang;mathmhb@ieee.org
WANG, X., YANG, C., CHEN, J., MA, H., & LIU, F. (2015). Obstacle Avoidance for Kinematically Redundant Robot**This work was supported in part by EPSRC grant EP/L026856/1, Royal Society grant IE130681, Guangdong Provincial Natural Science Foundation of China under Grant 2014A030313266, State Key Laboratory of Robotics and System (HIT) SKLRS-2014-MS-05, and National Natural Science Foundation (NNSF) of China under Grants 61473120 and 61473038.****Corresponding authors are C. Yang and H. Ma. Email: cyang;mathmhb@ieee.org. In IFAC-PapersOnLine Vol. 48 (pp. 490-495). Elsevier BV. doi:10.1016/j.ifacol.2015.12.176
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Semi-parametric adaptive control of discrete-time nonlinear systems
Yang, C., Chai, T., Zhai, L., Ge, S. S., & Lee, T. H. (2009). Semi-parametric adaptive control of discrete-time nonlinear systems. In 2009 IEEE International Conference on Automation and Logistics (pp. 347-352). IEEE. doi:10.1109/ical.2009.5262899
Adaptive control of a class of strict-feedback discrete-time nonlinear systems with unknown control gains and preceded by hysteresis
Ge, S. S., Yang, C., Dai, S. -L., & Lee, T. H. (2009). Adaptive control of a class of strict-feedback discrete-time nonlinear systems with unknown control gains and preceded by hysteresis. In 2009 American Control Conference (pp. 586-591). IEEE. doi:10.1109/acc.2009.5160082
Robust adaptive control of a class of nonlinear strict-feedback discrete-time systems with exact output tracking
Ge, S. S., Yang, C., Dai, S. -L., Jiao, Z., & Lee, T. H. (2009). Robust adaptive control of a class of nonlinear strict-feedback discrete-time systems with exact output tracking. Automatica, 45(11), 2537-2545. doi:10.1016/j.automatica.2009.07.025
Output feedback adaptive control of a class of nonlinear discrete-time systems with unknown control directions
Yang, C., Ge, S. S., & Lee, T. H. (2009). Output feedback adaptive control of a class of nonlinear discrete-time systems with unknown control directions. Automatica, 45(1), 270-276. doi:10.1016/j.automatica.2008.07.009
Robust adaptive output feedback control of a class of discrete-time nonlinear systems perturbed by nonlinear uncertainties
Dai, S. -L., Yang, C., Ge, S. S., & Lee, T. H. (2009). Robust adaptive output feedback control of a class of discrete-time nonlinear systems perturbed by nonlinear uncertainties. In Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference (pp. 7686-7691). IEEE. doi:10.1109/cdc.2009.5400516
2008
Direct adaptive NN control of MIMO nonlinear discrete-time systems using discrete Nussbaum gain
Zhai, L., Yang, C., Ge, S. S., Chai, T., & Lee, T. H. (2008). Direct adaptive NN control of MIMO nonlinear discrete-time systems using discrete Nussbaum gain. In IFAC Proceedings Volumes (IFAC-PapersOnline) Vol. 17. doi:10.3182/20080706-5-KR-1001.1122
Adaptive robust control of a class of nonlinear strict-feedback discrete-time systems with unknown control directions
Sam Ge, S., Yang, C., & Heng Lee, T. (2008). Adaptive robust control of a class of nonlinear strict-feedback discrete-time systems with unknown control directions. Systems & Control Letters, 57(11), 888-895. doi:10.1016/j.sysconle.2008.04.006
Output feedback NN control for two classes of discrete-time systems with unknown control directions in a unified approach.
Yang, C., Ge, S. S., Xiang, C., Chai, T., & Lee, T. H. (2008). Output feedback NN control for two classes of discrete-time systems with unknown control directions in a unified approach.. IEEE transactions on neural networks, 19(11), 1873-1886. doi:10.1109/tnn.2008.2003290
Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty
Chenguang Yang., Lianfei Zhai., Shuzhi Sam Ge., Tianyou Chai., & Tong Heng Lee. (2008). Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty. In 2008 American Control Conference (pp. 4111-4116). IEEE. doi:10.1109/acc.2008.4587137
Adaptive predictive control using neural network for a class of pure-feedback systems in discrete time.
Ge, S. S., Yang, C., & Lee, T. H. (2008). Adaptive predictive control using neural network for a class of pure-feedback systems in discrete time.. IEEE transactions on neural networks, 19(9), 1599-1614. doi:10.1109/tnn.2008.2000446
Stable adaptive neural network control of MIMO nonaffine nonlinear discrete-time systems
Zhai, L., Chai, T., Yang, C., Ge, S. S., & Lee, T. H. (2008). Stable adaptive neural network control of MIMO nonaffine nonlinear discrete-time systems. In 2008 47th IEEE Conference on Decision and Control (pp. 3646-3651). IEEE. doi:10.1109/cdc.2008.4738830
2007
Adaptive Predictive Control of a Class of Strict-feedback Discrete-time Systems using Discrete Nussbaum Gain
Yang, C. G., Ge, S. S., & Lee, T. H. (2007). Adaptive Predictive Control of a Class of Strict-feedback Discrete-time Systems using Discrete Nussbaum Gain. In 2007 American Control Conference (pp. 1209-1214). IEEE. doi:10.1109/acc.2007.4282415
Robust motion/force control of nonholonomic mobile manipulators using hybrid joints
Li, Z., Yang, C., Luo, J., Wang, Z., & Ming, A. (2007). Robust motion/force control of nonholonomic mobile manipulators using hybrid joints. Advanced Robotics, 21(11), 1231-1252. doi:10.1163/156855307781503754
Adaptive Neural Networks Control for a Class of Pure-feedback Systems in Discrete-time
Ge, S. S., Yang, C. G., & Lee, T. H. (2007). Adaptive Neural Networks Control for a Class of Pure-feedback Systems in Discrete-time. In 2007 IEEE 22nd International Symposium on Intelligent Control (pp. 126-131). IEEE. doi:10.1109/isic.2007.4450872
NEURO-ADAPTIVE COMPLIANT FORCE/MOTION CONTROL OF UNCERTAIN CONSTRAINED WHEELED MOBILE MANIPULATORS
Li, Z., Yang, C., & Gu, J. (2007). NEURO-ADAPTIVE COMPLIANT FORCE/MOTION CONTROL OF UNCERTAIN CONSTRAINED WHEELED MOBILE MANIPULATORS. International Journal of Robotics and Automation, 22(3). doi:10.2316/journal.206.2007.3.206-2949
Output feedback NN control of NARMA systems using discrete Nussbaum gain
Ge, S. S., Yang, C. G., & Lee, T. H. (2007). Output feedback NN control of NARMA systems using discrete Nussbaum gain. In 2007 46th IEEE Conference on Decision and Control (pp. 4681-4686). IEEE. doi:10.1109/cdc.2007.4434177