Abstract
Our research considers the problem of enabling persistent execution of a multi-drone task under energy limitations. The drones are given a set of locations and their task is to ensure that at least one drone will be present, for example for monitoring, over each location at any given time. Because of energy limitations, drones must be replaced from time to time, and fly back home where their batteries can be replaced. Our goals are to identify the minimum number of spare drones needed to accomplish the task while no drone battery drains, and to provide a drone replacement strategy.
Original language | English |
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Title of host publication | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 1743-1745 |
Number of pages | 3 |
ISBN (Print) | 9781510868083 |
State | Published - 2018 |
Event | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden Duration: 10 Jul 2018 → 15 Jul 2018 |
Publication series
Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
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Volume | 3 |
ISSN (Print) | 1548-8403 |
ISSN (Electronic) | 1558-2914 |
Conference
Conference | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
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Country/Territory | Sweden |
City | Stockholm |
Period | 10/07/18 → 15/07/18 |
Bibliographical note
Publisher Copyright:© 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Keywords
- Multi-robot systems
- Multiagent scheduling
- Task allocation