Distributed Self-Healing for Mobile Robot Networks with Multiple Robot Failures
Title | Distributed Self-Healing for Mobile Robot Networks with Multiple Robot Failures |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Shen, Y., Chen, W., Wang, J. |
Conference Name | 2017 Chinese Automation Congress (CAC) |
ISBN Number | 978-1-5386-3524-7 |
Keywords | 2-hop neighbor infomation, Algorithm design and analysis, composability, distributed control, distributed self-healing algorithm, failed robots, fault tolerant control, maintenance engineering, mobile robot network, mobile robots, multiple robot failures, multirobot applications, pubcrawl, resilience, Resiliency, Robot sensing systems, self-healing networks, single robot failure, Synchronization |
Abstract | In the multi-robot applications, the maintained and desired network may be destroyed by failed robots. The existing self-healing algorithms only handle with the case of single robot failure, however, multiple robot failures may cause several challenges, such as disconnected network and conflicts among repair paths. This paper presents a distributed self-healing algorithm based on 2-hop neighbor infomation to resolve the problems caused by multiple robot failures. Simulations and experiment show that the proposed algorithm manages to restore connectivity of the mobile robot network and improves the synchronization of the network globally, which validate the effectiveness of the proposed algorithm in resolving multiple robot failures. |
URL | http://ieeexplore.ieee.org/document/8243846/ |
DOI | 10.1109/CAC.2017.8243846 |
Citation Key | shen_distributed_2017 |
- mobile robots
- Synchronization
- single robot failure
- self-healing networks
- Robot sensing systems
- Resiliency
- resilience
- pubcrawl
- multirobot applications
- multiple robot failures
- 2-hop neighbor infomation
- mobile robot network
- maintenance engineering
- fault tolerant control
- failed robots
- distributed self-healing algorithm
- distributed control
- composability
- Algorithm design and analysis