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Haptic Control in Physical Human-Robot Interaction Based on Support Vector Machine Classification of Muscle Activity: A Preliminary Study

[+] Author Affiliations
Antonio Moualeu, Jun Ueda

Georgia Institute of Technology, Atlanta, GA

Paper No. DSCC2014-6339, pp. V003T42A005; 9 pages
doi:10.1115/DSCC2014-6339
From:
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4620-9
  • Copyright © 2014 by ASME

abstract

This study aims to develop methods to increase information available to a haptic device about a human operator during physical human-robot interaction. Physical contact between a robot and human operator establishes a coupled system with stability and performance characteristics partly dependent on interaction port impedance behavior. Operator impedance is estimated in this research based on changes in arm muscle activity, recorded through electromyographic (EMG) signals. A switching impedance controller employing a Support Vector Machine (SVM) classifier for operator state estimation is used in an interaction system with a one degree-of-freedom haptic device. Results from performance (e.g. speed, accuracy) trials investigating a stochastic approach to position control are presented in comparison to other standard approaches. This research serves a basis for the exploration of advanced control tools and ultimately developing a novel human-robot interface. Applications for such research include interaction with robot co-workers (e.g. power-assisting devices) in industrial settings.

Copyright © 2014 by ASME

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