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/).

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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  -