People
CHEN Fei 陳翡
Assistant Professor
TEL: 852 - 3943 1601
Rm. 411, Ho Sin Hang Engineering Building

Fei Chen received the B.S. degree in computer science from Xi’an Jiaotong University (XJTU), Xi’an, China, in 2006, the M.S. degree in computer science from Harbin Institute of Technology (HIT), Harbin, China, in 2008, and the Dr. Eng. degree in robotics from Fukuda Laboratory, Nagoya University, Nagoya, Japan, in 2012. Before joining CUHK, he was a researcher and founder of Active Perception and Robot Interactive Learning (APRIL) Laboratory at Italian Institute of Technology (IIT). He is currently leading Collaborative and Versatile Robots Laboratory (CLOVER) with the Department of Mechanical and Automation Engineering and CUHK T-Stone Robotics Institute. He has been acting as the PI of several EU and Italian national projects, e.g., EU FP7 AutoMAP, EU H2020 FET Chist-Era Learn-Real, VINUM and Learn-Assist as well as Hong Kong RGC ECS/GRF, ITC projects. His main research interest lies in robot mobile manipulation, robot grasping and manipulation, human-robot collaboration. He is an IEEE Senior Member. He is co-chair of IEEE Robotics and Automation Society Technical Committee on Neuro-Robotics Systems. He also serves as Associate Editor for IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, and Frontiers in Neurorobotics.

CLOVER Lab at CUHK: www.feichenlab.com

Research Interests
  • Robot mobile manipulation
  • Robot grasping and manipulation
  • Human-Robot interaction and collaboration
  • Robot learning from human demonstration
Projects
  • RGC-CRF (2023-2026): Transferable Programming Methods for Mobile Manipulator Task Planning
  • SSRFS (2023-2025): Strength and Conditioning Training Robots: AI Sensing and Feedback Approach
  • RGC-GRF (2023-2025): Learning and Control of Adaptive Co-Manipulation in Human-Robot Collaboration
  • RGC-ECS (2022-2024): Human Tele-demonstration Based on Manipulation Skills Learning for Collaborative Dual-arm Mobile Robots
  • InnoHK (2020-2025) – Hong Kong Centre for Logistics Robotics: Intelligent Robot Sorting System
  • Italy-Japan LEARN-Assist (2021-2023): Assistive Robotic System for Various Dressing Tasks through Robot Learning by Demonstration via Sim-to-Real Methods
  • EU H2020 Chist-Era LEARN-REAL (2019-2023): Improving Reproducibility in Learning Physical Manipulation Skills with Simulators Using Realistic Variations
  • VINUM (2018-2023): Grape Vine Recognition, Manipulation and Winter Pruning Automation
Teaching
2022/2023
ENGG5402 Advanced Robotics
2022/2023
MAEG2050 Robot Development in Practice: From Design to Prototyping
2021/2022
MAEG1010 An Introduction to Robot Design
2021/2022
ENGG5402 Advanced Robotics
2021/2022
MAEG1010 An Introduction to Robot Design
2020/2021
ENGG5402 Advanced Robotics
Publications

Journal Papers (in the recent five years)

  1. Dong, Z. Li, Y. Yan, S. Calinon and F. Chen, “Passive Bimanual Skills Learning From Demonstration With Motion Graph Attention Networks,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4917-4923, 2022.
  2. Liu, Y. Chen, Z. Dong, S. Wang, S. Calinon, M. Li and F. Chen, “Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5159-5166, 2022.
  3. Katyara, F. Ficuciello, D. G. Caldwell, B. Siciliano and F. Chen, “Leveraging kernelized synergies on shared subspace for precision grasping and dexterous manipulation,” IEEE Transactions on Cognitive and Developmental Systems, 2021.
  4. He, J. Li, Z. Yan and F. Chen, “Bidirectional Human-Robot Bimanual Handover of Big Planar Object With Vertical Posture,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 2, pp. 1180-1191, 2021.
  5. S. Qiu, W. Guo, D. Caldwell and F. Chen, “Exoskeleton online learning and estimation of human walking intention based on dynamical movement primitives,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 1, pp. 67-79, 2020
  6. Li, Z. Li, F. Chen, A. Bicchi, Y. Sun and T. Fukuda, “Combined sensing, cognition, learning, and control for developing future neuro-robotics systems: a survey,” IEEE Transactions on Cognitive and Developmental Systems, vol. 11, no. 2, pp. 148-161, 2019.

Honours and Awards

  • 2018 Best Paper Award Finalist, IEEE/ASME Transactions on Mechatronics, 2018
  • Best Paper Award Finalist, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2019)
  • Best Paper Award, 11th International Workshop on Human Friendly Robotics (HFR2018)
  • Best Automation Paper Award Finalist, IEEE International Conference on Mechatronics and Automation (ICMA2016)
  • Best Advanced Robotics Paper Award, IEEE International Conference on Advanced Robotics and Mechatronics (ICARM2016)