Learning and Control for Robot Compliant Manipulation with Human in the Loop

Motivation

This Special Issue is motivated by recent developments of robotic control methods, learning algorithms and relevant technologies for compliant manipulation. A large number of researchers have reported their significant contributions to this topic. However, there lacks a Special Issue of any relevant journal concentrating on this interesting topic. We believe that the cognitive and learning abilities as well as intelligent control methods are very important in the development of the next generation of robots of compliant manipulation, and therefore deserve to be studied and discussed in a dedicated special issue.

 

List of topics

Topics of interest for this special issue include and are not limited to:

• Dynamic environment estimation and prediction
• Machine learning-based compliant skill acquirement
• Imitation learning and applications to robot compliant manipulation
• Intelligent control design for robot compliant manipulation
• Physical human robot compliant interaction
• Optimization of human robot collaboration for compliant manufacturing automation.
• Safety for human in the loop robot manipulation in flexible/agile manufacturing

 

Timeline

The special issue will follow the following timeline:

16 Sep 2021	Papercept open for submission
6 Oct 2021	Submission deadline
31 Dec 2021	Authors receive RA-L reviews and recommendation
14 Jan 2022	Authors of accepted MS submit final RA-L version
30 Jan 2022	Authors of R&R MS resubmit revised MS
6 Mar 2022	Authors receive final RA-L decision
20 Mar 2022	Authors submit final RA-L files
25 Mar 2022	Camera ready version appears in RA-L on Xplore
5 April 2022	Final Publication

 

Guest Editors

	Name: Chenguang Yang Affiliation: Bristol Robotics Laboratory, UWE Bristol, UK e-mail: cyang@ieee.org
	Name: Miao Li Affiliation: Wuhan University, China  e-mail: miao.li@whu.edu.cn
	Name: Hao Ding Affiliation: University of Shanghai for Science and Technology, China e-mail: hao.ding@usst.edu.cn
	Name: Andrea M. Zanchettin Affiliation: Politecnico di Milano, Italy    e-mail: andreamaria.zanchettin@polimi.it
	Name: Julie A. Shah Affiliation: Massachusetts Institute of Technology, USA e-mail: julie_a_shah@csail.mit.edu