A Two-stage Coordinated Strategy for Integrated Exploration of Multi-robot Systems
- DOI
- 10.2991/eeeis-17.2017.13How to use a DOI?
- Keywords
- Multi-robot Systems, Exploration, Coordination, Entropy, Auction Algorithm
- Abstract
To improve performance for integrated exploration algorithms of multi-robot systems, a two-stage coordinated strategy is proposed in this paper. In the first stage, all robots explore unknown environments by a kind of forth and back trajectories which are shaped by social entropy and a voting mechanism. In the second stage, the solving process of coordination problem for multi-robot systems is modeled as a blackboard system, and each robot contributes a solution to the question determined by a capacity constrained auction algorithm. The proposed approach is verified by computer simulations for obstacle free environments.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xue-Feng DAI AU - Lai-Hao JIANG PY - 2017/09 DA - 2017/09 TI - A Two-stage Coordinated Strategy for Integrated Exploration of Multi-robot Systems BT - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017) PB - Atlantis Press SP - 79 EP - 84 SN - 2352-5401 UR - https://doi.org/10.2991/eeeis-17.2017.13 DO - 10.2991/eeeis-17.2017.13 ID - DAI2017/09 ER -