Ergonomic adaptation of robotic movements in human-robot collaboration

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Musculoskeletal Disorders (MSDs) are common occupational diseases. An interesting research question is whether collaborative robots actively can minimise the risk of MSDs during collaboration. In this work ergonomic adaptation of robotic movements during human-robot collaboration is explored in a first test case, namely, adjustment of work sureface height. Vision based markerless posture estimation is used as input in combination with ergonomic assessment methods to adapt robotic movements in order to facilitate better ergonomic conditions for the human worker.
Original languageEnglish
Title of host publicationHRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Number of pages3
PublisherIEEE Computer Society Press
Publication date23 Mar 2020
Pages499-501
ISBN (Electronic)9781450370578
DOIs
Publication statusPublished - 23 Mar 2020
Event15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020

Conference

Conference15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
CountryUnited Kingdom
CityCambridge
Period23/03/202026/03/2020
SponsorARM, Cambridge Consultants, et al., FN Robotics, Furhat Robotics, Halodi
SeriesACM/IEEE International Conference on Human-Robot Interaction

Keywords

  • Collaborative robots
  • Computer vision
  • Ergonomics
  • Human-robot interaction
  • Posture estimation

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