Kapellmann, G., Salomons, N., Kolling, A. et al. (1 more author) (2016) Human-robot swarm interaction with limited situational awareness. In: Swarm Intelligence. 10th International Conference on Swarm Intelligence (ANTS 2016), 07-09 Sep 2016, Brussels, Belgium. Lecture Notes in Computer Science . Springer , pp. 125-136. ISBN 978331944427-7
Abstract
This paper studies how an operator with limited situational awareness can collaborate with a swarm of simulated robots. The robots are distributed in an environment with wall obstructions. They aggregate autonomously but are unable to form a single cluster due to the obstructions. The operator lacks the bird’s-eye perspective, but can interact with one robot at a time, and influence the behavior of other nearby robots. We conducted a series of experiments. They show that untrained participants had marginal influence on the performance of the swarm. Expert participants succeeded in aggregating 85% of the robots while untrained participants, with bird’s-eye view, succeeded in aggregating 90%. This demonstrates that the controls are sufficient for operators to aid the autonomous robots in the completion of the task and that lack of situational awareness is the main difficulty. An analysis of behavioral differences reveals that trained operators learned to gain superior situational awareness.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Springer. This is an author produced version of a paper subsequently published in LNCS. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Jan 2017 11:45 |
Last Modified: | 27 Nov 2017 13:15 |
Published Version: | https://doi.org/10.1007/978-3-319-44427-7_11 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-44427-7_11 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110449 |