A Multi-Robot Cooperative Searching Algorithm in Unknown Environments based on Neural Network
Pages 479 - 482
Abstract
A neural network algorithm are proposed for complete coverage navigation which only choose the maximum activity of peripheral neurons as a guide. However, cooperation is the key to utilizing the potential of multirobot systems. In this paper, we present a market method based on neural network of dynamic task allocation for groups of such robots. Robots bid for tasks depend on its fitness and release those overdue tasks, which strengthens cooperation and improves search efficiency. The simulation results show that our method can realize the cooperation among individuals, improve the area coverage rate, reduce the number of repeated coverages, and improve the area coverage efficiency of swarm robots.
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April 2021
498 pages
ISBN:9781450389501
DOI:10.1145/3467707
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Association for Computing Machinery
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Published: 24 September 2021
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ICCAI '21
ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence
April 23 - 26, 2021
Tianjin, China
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