Title | ||
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Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response: Extended Abstract |
Abstract | ||
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Multiple robotic systems, working together, can provide important solutions to different real-world applications (e.g., disaster response), among which task allocation problems feature prominently. Very few existing decentralized multi-robotic task allocation (MRTA) methods simultaneously offer the following capabilities: consideration of task deadlines, consideration of robot range and task completion capacity limitations, and allowing asynchronous decision-making under dynamic task spaces. To provision these capabilities, this paper presents a computationally efficient algorithm that involves novel construction and matching of bipartite graphs. Its performance is tested on a multi-UAV flood response application. |
Year | DOI | Venue |
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2019 | 10.1109/MRS.2019.8901062 | 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) |
Keywords | Field | DocType |
Multi-robotic task allocation,unmanned aerial vehicles,flood response | Robotic systems,Asynchronous communication,Swarm behaviour,Computer science,Bipartite graph,Task completion,Robot,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-2877-1 | 0 | 0.34 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Payam Ghassemi | 1 | 0 | 1.69 |
David DePauw | 2 | 0 | 0.34 |
Souma Chowdhury | 3 | 7 | 7.63 |