Kapellmann-Zafra, G., Chen, J. and Gross, R. orcid.org/0000-0003-1826-1375 (2016) Using Google Glass in human-robot swarm interaction. In: Towards Autonomous Robotic Systems. Towards Autonomous Robotic Systems (TAROS 2016), June 26 - July 1, 2016, Sheffield, UK. Lecture Notes in Computer Science, 9716 . Springer International Publishing , pp. 196-201.
Abstract
We study how a human operator can guide a swarm of robots when transporting a large object through an environment with obstacles. The operator controls a leader robot that influences the other robots of the swarm. Follower robots push the object only if they have no line of sight of the leader. The leader represents a way point that the object should reach. By changing its position over time, the operator effectively guides the transporting robots towards the final destination. The operator uses the Google Glass device to interact with the swarm. Communication can be achieved via either touch or voice commands and the support of a graphical user interface. Experimental results with 20 physical e-puck robots show that the human–robot interaction allows the swarm to transport the object through a complex environment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. 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: | 16 Sep 2016 10:31 |
Last Modified: | 20 Mar 2018 23:11 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-40379-3_20 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-40379-3_20 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104722 |