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2023

Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints

Yang, X., Du, Y., Li, L., Zhou, Z., & Zhang, X. (2023). Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints. IEEE Robotics and Automation Letters, 8(12), 8462-8469. doi:10.1109/lra.2023.3329620

DOI
10.1109/lra.2023.3329620
Journal article

2022

Coupled dynamic modeling and experimental validation of a collaborative industrial mobile manipulator with human-robot interaction

Zhou, Z., Yang, X., Wang, H., & Zhang, X. (2022). Coupled dynamic modeling and experimental validation of a collaborative industrial mobile manipulator with human-robot interaction. Mechanism and Machine Theory, 176, 105025. doi:10.1016/j.mechmachtheory.2022.105025

DOI
10.1016/j.mechmachtheory.2022.105025
Journal article

A Switchable Rigid-Continuum Robot Arm: Design and Testing

Wang, H., Zhou, Z., Yang, X., & Zhang, X. (2022). A Switchable Rigid-Continuum Robot Arm: Design and Testing. In 2022 International Conference on Robotics and Automation (ICRA) (pp. 5162-5169). IEEE. doi:10.1109/icra46639.2022.9812074

DOI
10.1109/icra46639.2022.9812074
Conference Paper

Digital Twin with Integrated Robot-Human/Environment Interaction Dynamics for an Industrial Mobile Manipulator

Zhou, Z., Yang, X., Wang, H., & Zhang, X. (2022). Digital Twin with Integrated Robot-Human/Environment Interaction Dynamics for an Industrial Mobile Manipulator. In 2022 International Conference on Robotics and Automation (ICRA) (pp. 5041-5047). IEEE. doi:10.1109/icra46639.2022.9812004

DOI
10.1109/icra46639.2022.9812004
Conference Paper

Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint

Yang, X., Qiang, D., Chen, Z., Wang, H., Zhou, Z., & Zhang, X. (2022). Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint. In 2022 International Conference on Robotics and Automation (ICRA) (pp. 4862-4868). IEEE. doi:10.1109/icra46639.2022.9812458

DOI
10.1109/icra46639.2022.9812458
Conference Paper

Learning-based object detection and localization for a mobile robot manipulator in SME production

Zhou, Z., Li, L., Fursterling, A., Durocher, H. J., Mouridsen, J., & Zhang, X. (2022). Learning-based object detection and localization for a mobile robot manipulator in SME production. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 73. doi:10.1016/j.rcim.2021.102229

DOI
10.1016/j.rcim.2021.102229
Journal article

2021

Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

Zhou, Z., Li, L., Wang, R., & Zhang, X. (2021). Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator. In 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (pp. 4148-4154). doi:10.1109/ICRA48506.2021.9561106

DOI
10.1109/ICRA48506.2021.9561106
Conference Paper

2020

Nonlinear vibration analysis of fiber reinforced composite cylindrical shells with partial constrained layer damping treatment

Li, H., Wang, Z., Lv, H., Zhou, Z., Han, Q., Liu, J., & Qin, Z. (2020). Nonlinear vibration analysis of fiber reinforced composite cylindrical shells with partial constrained layer damping treatment. THIN-WALLED STRUCTURES, 157. doi:10.1016/j.tws.2020.107000

DOI
10.1016/j.tws.2020.107000
Journal article

Experimental Eye-in-hand Calibration for Industrial Mobile Manipulators

Zhou, Z., Li, L., Wang, R., & Zhang, X. (2020). Experimental Eye-in-hand Calibration for Industrial Mobile Manipulators. In 2020 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 582-587). IEEE. doi:10.1109/icma49215.2020.9233585

DOI
10.1109/icma49215.2020.9233585
Conference Paper

2018

Theoretical Study on the Influence of Hard Coating on Vibration Characteristics of Fiber-Reinforced Composite Thin Shell

Li, H., Zhou, Z., Sun, H., Sun, W., & Wen, B. (2018). Theoretical Study on the Influence of Hard Coating on Vibration Characteristics of Fiber-Reinforced Composite Thin Shell. COATINGS, 8(3). doi:10.3390/coatings8030087

DOI
10.3390/coatings8030087
Journal article