Abstract
Explicit coordination among robot usually requires a method to exchange information regarding their intentions and their knowledge of the world. Most of the research found in the multi-robot coordination literature uses ad-hoc approaches for communication. This work is an initial attempt to tackle the communication problem in a generic way. It tries to answer the question of when to communicate, what to communicate and with whom to communicate. It proposes the use of dynamic action sets combined with a Determinized Sparse Partially Observable Tree structure that can address the communication decision problem in an online fashion. Compared with a state-of-the-art approach used for sharing knowledge among robotic teams it shows a constantly better performance.
Original language | English |
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Title of host publication | 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) |
Publisher | IEEE |
Pages | 142-144 |
Number of pages | 3 |
ISBN (Electronic) | 9781728128764 |
DOIs | |
Publication status | Published - 14 Nov 2019 |
Event | 2nd International Symposium on Multi-Robot and Multi-Agent Systems 2019 - New Brunswick, United States Duration: 22 Aug 2019 → 23 Aug 2019 |
Conference
Conference | 2nd International Symposium on Multi-Robot and Multi-Agent Systems 2019 |
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Abbreviated title | MRS 2019 |
Country/Territory | United States |
City | New Brunswick |
Period | 22/08/19 → 23/08/19 |
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Optimization