Abstract
The exploration time for a swarm of robots doing object gathering depends on the specific task, environment, number of objects, and number of robots. Hence, it is important to understand how different properties affect the exploration time. To address this practical challenge, we present a theoretical analysis of the expected exploration time for a swarm of robots that are searching for objects in an arena and present experimental results obtained with different swarm sizes. The experimental results are consistent with the theoretical analysis.
Original language | English (US) |
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Title of host publication | Intelligent Autonomous Systems 16 - Proceedings of the 16th International Conference IAS-16 |
Editors | Marcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 445-457 |
Number of pages | 13 |
ISBN (Print) | 9783030958916 |
DOIs | |
State | Published - 2022 |
Event | 16th International Conference on Intelligent Autonomous Systems, IAS-16 2020 - Virtual, Online Duration: Jun 22 2021 → Jun 25 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 412 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 16th International Conference on Intelligent Autonomous Systems, IAS-16 2020 |
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City | Virtual, Online |
Period | 6/22/21 → 6/25/21 |
Bibliographical note
Funding Information:We gratefully acknowledge the MnDRIVE RSAM initiative at the University of Minnesota, the Minnesota Robotics Institute, the Minnesota Supercomputing Institute, and the Undergraduate Research Opportunities Program at the University of Minnesota for their support.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Exploration time estimate
- Foraging
- Swarm robotics