Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control-Reference-Cited by-同舟云学术

Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control

Author:

Xing Xueyan¹^ORCID,Maqsood Kamran¹^ORCID,Zeng Chao²,Yang Chenguang³^ORCID,Yuan Shuai⁴^ORCID,Li Yanan¹^ORCID

Affiliation:

1. Department of Engineering and Design, University of Sussex, Brighton, U.K.

2. University of Hamburg, Hamburg, Germany

3. Bristol Robotics Laboratory, University of the West of England, Bristol, U.K.

4. School of Astronautics, Harbin Institute of Technology, Harbin, China

Funder

U.K. EPSRC

Chinese State Key Laboratory of Robotics and Systems

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference46 articles.

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