Content area

Abstract

Variable admittance control is commonly used for a collaborative robot to achieve the compliant or accurate cooperation according to human’s intention. However, existing research seldom investigates such a human-robot collaboration coupled with an extra environment with unknown stiffness. If the end-effector that is guided by a human with various intended motion contacts the unknown environment, the interaction might become unstable. Additionally, current research for this physical human-robot-environment interaction use two force sensors to address the issue, and hence the cost of the robot is likely to increase and it reduces the flexibility to many applications. Therefore, in this paper, we address the issue of physical human-robot interaction coupled with an extra environment whose stiffness is unknown. To achieve this, the condition of robot admittance is rigorously proved in accordance with different human intended motion and environmental stiffness. Moreover, a variable admittance control scheme is proposed based on human intention, environmental force and environment stiffness using the combination of a force sensor and a force observer. Simulation and experiments are conducted to demonstrate the effectiveness of the proposed control scheme.

Details

Title
A Control Scheme for Physical Human-Robot Interaction Coupled with an Environment of Unknown Stiffness
Author
Hsieh-Yu, Li 1   VIAFID ORCID Logo  ; Dharmawan, Audelia G 1 ; Paranawithana Ishara 1 ; Yang Liangjing 2 ; U-Xuan, Tan 1 

 Singapore University of Technology and Design, Pillar of Engineering Product Development, Singapore, Singapore (GRID:grid.263662.5) (ISNI:0000 0004 0500 7631) 
 Zhejiang University/University of Illinois at Urbana-Champaign Institute, Hangzhou, China (GRID:grid.263662.5) 
Pages
165-182
Publication year
2020
Publication date
Oct 2020
Publisher
Springer Nature B.V.
ISSN
09210296
e-ISSN
15730409
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2439755724
Copyright
© Springer Nature B.V. 2020.