Multi-robot coordination for connectivity recovery after unpredictable environment changes

Yaroslav Marchukov; Luis Montano

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arXiv · 2503.11520

Multi-robot coordination for connectivity recovery after unpredictable environment changes

Yaroslav Marchukov·Luis Montano

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Abstract

In the present paper we develop a distributed method to reconnect a multi-robot team after connectivity failures, caused by unpredictable environment changes, i.e. appearance of new obstacles. After the changes, the team is divided into different groups of robots. The groups have a limited communication range and only a partial information in their field of view about the current scenario. Their objective is to form a chain from a static base station to a goal location. In the proposed distributed replanning approach, the robots predict new plans for the other groups from the new observed information by each robot in the changed scenario, to restore the connectivity with a base station and reach the initial joint objective. If a solution exists, the method achieves the reconnection of all the groups in a unique chain. The proposed method is compared with other two cases: 1) when all the agents have full information of the environment, and 2) when some robots must move to reach other waiting robots for reconnection. Numerical simulations are provided to evaluate the proposed approach in the presence of unpredictable scenario changes.

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Yaroslav Marchukov, Luis Montano. 2025-03-14. Multi-robot coordination for connectivity recovery after unpredictable environment changes. https://arxiv.org/abs/2503.11520

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