How motion planning affects human factors in human-robot collaboration. Issue 5 (2020)
- Record Type:
- Journal Article
- Title:
- How motion planning affects human factors in human-robot collaboration. Issue 5 (2020)
- Main Title:
- How motion planning affects human factors in human-robot collaboration
- Authors:
- Beschi, Manuel
Faroni, Marco
Copot, Cosmin
Pedrocchi, Nicola - Abstract:
- Abstract: Dependability of robot co-workers plays an important role in increasing the effectiveness of human-robot interaction in manufacturing. Our goal is to understand the role of motion planning parameters in human-robot collaboration and to provide guidelines for the selection of the most suitable motion planner. The human factors analysis provided in this paper highlights that repeatability of the motion and predictability of the robot timing affect the quality of human-robot collaboration.
- Is Part Of:
- IFAC-PapersOnLine. Volume 53:Issue 5(2020)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 53:Issue 5(2020)
- Issue Display:
- Volume 53, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 53
- Issue:
- 5
- Issue Sort Value:
- 2020-0053-0005-0000
- Page Start:
- 744
- Page End:
- 749
- Publication Date:
- 2020
- Subjects:
- human-aware motion planning -- human factors -- human-robot interaction -- ergonomics
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2021.04.167 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23627.xml