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Unlocking human-robot synergy: The power of intent communication in warehouse robotics.

Authors :
Bhattathiri, Sriparvathi Shaji
Bogovik, Anton
Abdollahi, Masoud
Hochgraf, Clark
Kuhl, Michael E.
Ganguly, Amlan
Kwasinski, Andres
Rashedi, Ehsan
Source :
Applied Ergonomics. May2024, Vol. 117, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

As autonomous mobile robots (AMR) are introduced into workspace environments shared with people, effective human-robot communication is critical to the prevention of injury while maintaining a high level of productivity. This research presents an empirical study that evaluates four alternative methods for communicating between an autonomous mobile robot and a human at a warehouse intersection. The results demonstrate that using an intent communication system for human-AMR interaction improves objective measures of productivity (task time) and subjective metrics of trust and comfort. • Investigation of intent communication systems (ICS) for human-robot interaction. • Results demonstrate that an ICS improves measures of warehouse productivity and trust. • Study emulates the interaction of humans and forklifts at a warehouse intersection. • Four alternative ICS methods include text, symbol, and avatar displays, and no ICS. • A humanoid avatar ICS was ranked highest in terms of participant preference. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00036870
Volume :
117
Database :
Academic Search Index
Journal :
Applied Ergonomics
Publication Type :
Academic Journal
Accession number :
175640342
Full Text :
https://doi.org/10.1016/j.apergo.2024.104248