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2024

Learning to bag with a simulation‐free reinforcement learning framework for robots

Munguia‐Galeano, F., Zhu, J., Hernández, J. D., & Ji, Z. (2024). Learning to bag with a simulation‐free reinforcement learning framework for robots. IET Cyber-Systems and Robotics, 6(2). doi:10.1049/csy2.12113

DOI: 10.1049/csy2.12113
: Journal article

AR and HRC Integration for Enhanced Pragmatic Quality

Tong, Y., Zhang, Q., Galeano, F. M., & Ji, Z. (2024). AR and HRC Integration for Enhanced Pragmatic Quality. In 2024 IEEE International Conference on Industrial Technology (ICIT) (pp. 1-6). IEEE. doi:10.1109/icit58233.2024.10540971

DOI: 10.1109/icit58233.2024.10540971
: Conference Paper

2023

PnuTac: A Vision-Based Pneumatic Tactile Sensor for Slip Detection and Object Classification

Rayamane, P., Herbert, P., Munguia-Galeano, F., & Ji, Z. (2023). PnuTac: A Vision-Based Pneumatic Tactile Sensor for Slip Detection and Object Classification. In 2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE. doi:10.1109/m2vip58386.2023.10413420

DOI: 10.1109/m2vip58386.2023.10413420
: Conference Paper

Deep Reinforcement Learning With Explicit Context Representation.

Munguia-Galeano, F., Tan, A. -H., & Ji, Z. (2023). Deep Reinforcement Learning With Explicit Context Representation.. IEEE transactions on neural networks and learning systems, PP. doi:10.1109/tnnls.2023.3325633

DOI: 10.1109/tnnls.2023.3325633
: Journal article

Learning to bag with a simulation-free reinforcement learning framework for robots

: Preprint

Deep Reinforcement Learning with Explicit Context Representation

: Preprint

Designing an AR Facial Expression System for Human-Robots Collaboration

Tong, Y., Zhang, Q., Galeano, F. M., & Ji, Z. (2023). Designing an AR Facial Expression System for Human-Robots Collaboration. In 2023 28th International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. doi:10.1109/icac57885.2023.10275175

DOI: 10.1109/icac57885.2023.10275175
: Conference Paper

Towards Integrating 3D Printing and Automated Assembly

Munguia-Galeano, F., Ortega-Arroyo, L., Villarreal-Cervantes, M. G., & Ji, Z. (2023). Towards Integrating 3D Printing and Automated Assembly. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-7). IEEE. doi:10.1109/case56687.2023.10260529

DOI: 10.1109/case56687.2023.10260529
: Conference Paper

Affordance-Based Human-Robot Interaction With Reinforcement Learning

Munguia-Galeano, F., Veeramani, S., Hernandez, J. D., Wen, Q., & Ji, Z. (2023). Affordance-Based Human-Robot Interaction With Reinforcement Learning. IEEE ACCESS, 11, 31282-31292. doi:10.1109/ACCESS.2023.3262450

DOI: 10.1109/ACCESS.2023.3262450
: Journal article

Towards Smooth Human-Robot Handover with a Vision-Based Tactile Sensor

Rayamane, P., Munguia-Galeano, F., Tafrishi, S. A., & Ji, Z. (2023). Towards Smooth Human-Robot Handover with a Vision-Based Tactile Sensor. In Lecture Notes in Computer Science (pp. 431-442). Springer Nature Switzerland. doi:10.1007/978-3-031-43360-3_35

DOI: 10.1007/978-3-031-43360-3_35
: Chapter

2022

Context-Sensitive Personalities and Behaviors for Robots

Munguia-Galeano, F., & Setchi, R. (2022). Context-Sensitive Personalities and Behaviors for Robots. Procedia Computer Science, 207, 2325-2334. doi:10.1016/j.procs.2022.09.291

DOI: 10.1016/j.procs.2022.09.291
: Journal article