A Data-Driven Method to Identify Fault Mitigation Strategies in Robot Swarms
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70932-6_2
Reference34 articles.
1. Abeywickrama, D.B., et al.: Aeros: assurance of emergent behaviour in autonomous robotic swarms. arXiv preprint arXiv:2302.10292 (2023)
2. Bai, Y., Wang, J.: Fault detection and isolation using relative information for multi-agent systems. ISA Trans. 116, 182–190 (2021)
3. Bjerknes, J., Winfield, A.: On fault tolerance and scalability of swarm robotic systems 83, 431–444 (2013). https://doi.org/10.1007/978-3-642-32723-0_31
4. Bossens, D.M., Tarapore, D.: Rapidly adapting robot swarms with swarm map-based bayesian optimisation. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 9848–9854 (2021). https://doi.org/10.1109/ICRA48506.2021.9560958
5. Carrasco, R.A., Núñez, F., Cipriano, A.: Fault detection and isolation in cooperative mobile robots using multilayer architecture and dynamic observers. Robotica 29(4), 555–562 (2011)
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