A Human-Robot Collaboration Framework for Improving Ergonomics During Dexterous Operation of Power Tools

Wansoo Kim, Luka Peternel, Marta Lorenzini, Jan Babič, Arash Ajoudani

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In this work, we present a novel control approach to human-robot collaboration that takes into account ergonomic aspects of the human co-worker during power tool operations. The method is primarily based on estimating and reducing the overloading torques in the human joints that are induced by the manipulated external load. The human overloading joint torques are estimated and monitored using a whole-body dynamic state model. The appropriate robot motion that brings the human into the suitable ergonomic working configuration is obtained by an optimisation method that minimises the overloading joint torques. The proposed optimisation process includes several constraints, such as the human arm muscular manipulability and safety of the collaborative task, to achieve a task-relevant optimised configuration. We validated the proposed method by a user study that involved a human-robot collaboration task, where the subjects operated a polishing machine on a part that was brought to them by the collaborative robot. A statistical analysis of ten subjects as an experimental evaluation of the proposed control framework is provided to demonstrate the potential of the proposed control framework in enabling ergonomic and task-optimised human-robot collaboration.

Original languageEnglish
Article number102084
Number of pages10
JournalRobotics and Computer-Integrated Manufacturing
Volume68
DOIs
Publication statusPublished - 2021

Keywords

  • Ergonomics
  • Human performance modelling
  • Human-Robot Interaction
  • Industrial/organizational/workplace safety

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