Multi-robot Coverage System Based on Health Optimization Management Algorithm-Reference-Cited by-同舟云学术

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Multi-robot Coverage System Based on Health Optimization Management Algorithm

Published:2022-07-29 Issue: Volume: Page:902-911
ISSN:1876-1100
Container-title:Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
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Author:

Cao Kai,Chen Yangquan,Dang Haixin,Gao Song,Yan Kun

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3998-3_86

Reference14 articles.

1. Zhou, D.: Agile coordination and assistive collision avoidance for quadrotor swarms using virtual structures. IEEE Trans. Robot. 34(4), 916–923 (2018)

2. Cheng, K.P.: Graph theory-based approach to accomplish complete coverage path planning tasks for reconfigurable robots. IEEE Access 7, 94642–94657 (2019)

3. Xiao, H.: Leader-follower consensus multi-robot formation control using neurodynamic-optimization-based nonlinear model predictive control. IEEE Access 7, 43581–43590 (2019)

4. Yang, Y.: Leader–follower output synchronization of linear heterogeneous systems with active leader using reinforcement learning. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2139–2153 (2018)

5. Reis, W.: An arrovian analysis on the multi-robot task allocation problem: analyzing a behavior-based architecture. Robot. Auton. Syst. 144(9), 103839 (2021)

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1. Synergistic Swarm;Advances in Computational Intelligence and Robotics;2024-05-23

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