Dr. Chao Zeng

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Address:	Universität Hamburg   Faculty of Mathematics, Informatics and Natural Science   Department Informatics, Group TAMS   Vogt-Kölln-Str. 30   D-22527 Hamburg
Position:	Research Associate
Room:	F-427
Phone:	+49 (0) 40 42883-2417
Fax:	+49 (0) 40 42883-2397
E-mail:	zeng@informatik.uni-hamburg.de; mjzengc@gmail.com

About Me

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I am currently a Research Associate at TAMS group, Universität Hamburg, under the supervision of Prof. Jianwei Zhang. I received the Ph.D. degree in robotics and control from South China University of Technology (SCUT), China, in 2019. I am now participating in the scientific research project DEXMAN (DEXMAN: Improving robot’s DEXterous MANipulability by learning stiffness-based human motor skills and visuo-tactile exploration) which is an international collaborative project together founded by DFG (Germany) and NSFC (China). The main goal of this project is to develop learning and control approaches based on multimodal data to improve the ability of robot dexterous and compliant manipulation. I will closely collaborate with Dr. Qiang Li (Universität Bielefeld, Germany) and Prof. Chenguang Yang (SCUT, China) who are the cooperation partners of this project.

Research Interests

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•   Robot imitation learning
•   Learning compliant manipulation
•   Learning adaptive control
•   Human-robot physical interaction and collaboration

Selected Publications

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  C. Zeng, C. Yang, H. Cheng, and S. Dai, Simultaneously Encoding Movement and EMG-based Stiff- ness for Robotic Skill Learning, IEEE Transactions on Industrial Informatics, 2020, DOI: 10.1109/TI- I.2020.2984482.

  C. Zeng, C. Yang, Q. Li and S. Dai, Research Progress on Human-Robot Skill Transfer, Acta Automatica Sinica, 2019, 45(10): 1813-1828. (In Chinese)

  C. Yang, C. Zeng, C. Fang, W. He, and Z. Li, A DMPs-Based Framework for Robot Learning and Generalization of human-like Variable Impedance Skills, IEEE/ASME Transactions on Mechatronics, vol. 23, no. 3, pp.1193-1203, 2018.

  Yang, C., C. Zeng, Liang, P., Li, Z., Li, R., & Su, C. Y. (2017). Interface design of a physical humanrobot interaction system for human impedance adaptive skill transfer. IEEE Transactions on Automation Science and Engineering, 15(1), 329-340.

  C. Zeng, C. Yang, F. Chen, and Z. Li, Acquisition of Variable Impedance Skills by Robot Manipu- lator, ICRA 2017, workshop on learning and control for autonomous manipulation systems: the role of dimensionality reduction. June 2, 2017, Singapore.

  C. Chen, C. Yang, C. Zeng, N. Wang, and Z. Li, Robot learning from multiple demonstrations with dynamic movement primitive, in 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2017, pp. 523528

Featured Pictures

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Review Service

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[J] IEEE Transactions on Robotics; [J] IEEE Robotics and Automation Letters; [J] IEEE/ASME Transactions on Mechatronics; [J] IEEE Transactions on Cybernetics; [J] IEEE Transactions on Automation Science and Engineering; [J] IEEE Transactions on Systems, Man and Cybernetics: Systems; [J] IEEE Transactions on Informatics; [J] IEEE Transactions on Electronics; [J] Assembly Automation; [C] ICRA, IROS, CASE, BioRob, et al.