Human Features-Based Variable Admittance Control for Improving HRI and Performance in Power-Assisted Heavy Object Manipulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In the first step, a 1-DOF power assist robotic system (PARS) was developed for object manipulation. The dynamics for human-robot co-manipulation of objects was derived that included human's weight perception. An admittance control scheme with position feedback and velocity controller was derived using the weight-perception-based dynamics. Human subjects lifted objects with the PARS, and human-robot interactions (HRI) and system characteristics were analyzed. HRI was expressed in terms of physical HRI (maneuverability, motion, safety, stability, and naturalness) and cognitive HRI (trust and workload), and performance was expressed in terms of manipulation efficiency and precision. A constrained optimization algorithm was used to determine the optimum HRI and performance. Results showed that inclusion of weight perception in the dynamics and control was effective to produce optimum HRI and performance for a set of hard constraints. In the second step, a novel variable admittance control algorithm was proposed, which enhanced the physical HRI, trust, precision and efficiency by 34.63%, 31.86%, 3.85% and 4.92% respectively, and reduced cognitive workload by 35.36%, and helped achieve optimum HRI and performance for a set of soft constraints. Effectiveness of the control algorithm was justified using a multi-DOF PARS for manipulating heavy objects.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 12th International Conference on Human System Interaction, HSI 2019
PublisherIEEE Computer Society
Pages87-92
Number of pages6
ISBN (Electronic)9781728139807
DOIs
StatePublished - Jun 2019
Event12th International Conference on Human System Interaction, HSI 2019 - Richmond, United States
Duration: Jun 25 2019Jun 26 2019

Publication series

NameInternational Conference on Human System Interaction, HSI
Volume2019-June
ISSN (Print)2158-2246
ISSN (Electronic)2158-2254

Conference

Conference12th International Conference on Human System Interaction, HSI 2019
Country/TerritoryUnited States
CityRichmond
Period6/25/196/26/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software

Fingerprint

Dive into the research topics of 'Human Features-Based Variable Admittance Control for Improving HRI and Performance in Power-Assisted Heavy Object Manipulation'. Together they form a unique fingerprint.

Cite this