Skip to main content

Research Repository

Advanced Search

Physical human-robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators

Ogenyi, Uchenna Emeoha; Liu, Jinguo; Yang, Chenguang; Ju, Zhaojie; Liu, Honghai

Physical human-robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators Thumbnail


Authors

Uchenna Emeoha Ogenyi

Jinguo Liu

Zhaojie Ju

Honghai Liu



Abstract

This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and collaborative strategies for physical human-robot collaboration (pHRC). This article starts with an overview of some robotic systems with cutting-edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed the relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances is made, some research directions, and future challenges are presented.

Journal Article Type Article
Acceptance Date Oct 1, 2019
Online Publication Date Nov 20, 2019
Publication Date Apr 1, 2021
Deposit Date Nov 22, 2019
Publicly Available Date Nov 22, 2019
Journal IEEE Transactions on Cybernetics
Print ISSN 2168-2267
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 51
Issue 4
Pages 1888 - 1901
DOI https://doi.org/10.1109/tcyb.2019.2947532
Keywords Control and Systems Engineering; Human-Computer Interaction; Electrical and Electronic Engineering; Software; Information Systems; Computer Science Applications
Public URL https://uwe-repository.worktribe.com/output/4722860
Publisher URL https://doi.org/10.1109/tcyb.2019.2947532

Files

Physical human-robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators (4 Mb)
PDF

Licence
http://www.rioxx.net/licenses/all-rights-reserved

Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved

Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





You might also like



Downloadable Citations