Abstract
The swarm robot system has great application potential in surveillance and reconnaissance tasks. In this paper, we apply a swarm robot system, which integrates distributed learning and flocking control, allowing robots to find task targets in a distributed learning way. Then, a new control scheme based on potential field is adopted to drive the robot to move towards these task targets without collision. Secondly, the convergence and applicability of the system are proved. Finally, the effectiveness of the system is verified by simulation and experiment.
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Acknowledgments
The research reported herein was supported by the NSFC of China under Grants Nos. 71571091 and 71771112.
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Zhang, J., Qu, Q., Chen, XB. (2023). Collective Behavior for Swarm Robots with Distributed Learning. In: Tan, Y., Shi, Y., Luo, W. (eds) Advances in Swarm Intelligence. ICSI 2023. Lecture Notes in Computer Science, vol 13969. Springer, Cham. https://doi.org/10.1007/978-3-031-36625-3_2
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DOI: https://doi.org/10.1007/978-3-031-36625-3_2
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