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.
Originalsprog | Engelsk |
---|---|
Titel | HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
Antal sider | 3 |
Forlag | IEEE Computer Society Press |
Publikationsdato | 23 mar. 2020 |
Sider | 499-501 |
ISBN (Elektronisk) | 9781450370578 |
DOI | |
Status | Udgivet - 23 mar. 2020 |
Begivenhed | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, Storbritannien Varighed: 23 mar. 2020 → 26 mar. 2020 |
Konference
Konference | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 |
---|---|
Land/Område | Storbritannien |
By | Cambridge |
Periode | 23/03/2020 → 26/03/2020 |
Sponsor | ARM, Cambridge Consultants, et al., FN Robotics, Furhat Robotics, Halodi |
Navn | ACM/IEEE International Conference on Human-Robot Interaction |
---|
Bibliografisk note
Publisher Copyright:© 2020 ACM.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.