Paper Info
Title
Human-Robot Collaboration for Heavy Object Manipulation: Kinesthetic Teaching of the Role of Wheeled Mobile Manipulator
Abstract
Human-robot collaboration (HRC) significantly extends robotic systems' applications when working in spaces like houses, hospitals, or laboratories. However, new challenges appear during a close collaboration between humans and robots and imitating the movement of humans by robots. Learning from demonstration (LfD), or kinesthetic teaching, is a popular approach to help teach a robot human behavior by demonstrations without the need to explicitly reprogram the robot for different procedures. In this paper, we propose a method for object manipulation, including lifting, carrying, and lowering the object through a collaboration of a human with a wheeled mobile manipulator (WMM). The WMM is first trained with the help of a human demonstrator to collaborate with the user to execute the task. Then, the WMM will independently cooperate with the user by reproducing the learned skills to perform the same task. The redundancy of the WMM will also be employed to enhance its force exertion capability in the vertical direction to offset the object's weight. The advantages and effectiveness of the proposed method are investigated through experiments.
Year
DOI
Venue
2021
10.1109/IROS51168.2021.9635910
2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
DocType
ISSN
Citations 
Conference
2153-0858
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Hongjun Xing101.35
Ali Torabi283.92
Liang Ding326937.06
Haibo Gao424639.27
Weihua Li5143.43
Vivian K Mushahwar611.06
Mahdi Tavakoli722349.03