A Passivity-Based Framework for Safe Physical Human–Robot Interaction

Author:

Ding Zhangchi1,Baghbahari Masoud1,Behal Aman2ORCID

Affiliation:

1. Electrical and Computer Engineering Department, University of Central Florida (UCF), Orlando, FL 32816, USA

2. ECE and NanoScience Technology Center, University of Central Florida (UCF), Orlando, FL 32816, USA

Abstract

In this paper, the problem of making a safe compliant contact between a human and an assistive robot is considered. Users with disabilities have a need to utilize their assistive robots for physical human–robot interaction (PHRI) during certain activities of daily living (ADLs). Specifically, we propose a hybrid force/velocity/attitude control for a PHRI system based on measurements from a six-axis force/torque sensor mounted on the robot wrist. While automatically aligning the end-effector surface with the unknown environmental (human) surface, a desired commanded force is applied in the normal direction while following desired velocity commands in the tangential directions. A Lyapunov-based stability analysis is provided to prove both the convergence as well as passivity of the interaction to ensure both performance and safety. Simulation as well as experimental results verify the performance and robustness of the proposed hybrid controller in the presence of dynamic uncertainties as well as safe physical human–robot interactions for a kinematically redundant robotic manipulator.

Funder

NIDILRR

NSF

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

Reference25 articles.

1. Engelberger, J. (1989). Robotics in Service, The MIT Press.

2. Kwee, H.H., Duimel, J.J., Smits, J.J., Tuinhof de Moed, A.A., and van Woerden, J.A. (, 1989). The MANUS Wheelchair-Borne Manipulator: System Review and First Results. Proceedings of the IARP Workshop on Domestic and Medical & Healthcare Robotics, Newcastle, UK.

3. Foulds, R. (1986). Interactive Robotic Aids, World Rehabilitation Fund Monograph #37, World Rehabilitation Fund.

4. Mokhtari, M. (2001). Integration of Assistive Technology in the Information Age, IOS.

5. An electric wheelchair mounted robotic arm—A survey of potential users;Prior;J. Med. Eng. Technol.,1990

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