Sequential path planning for a formation of mobile robots with split and merge

M. Estefania Pereyra, R. Gaston Araguas, Miroslav Kulich
2017 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)  
An algorithm for robot formation path planning is presented in this paper. Given a map of the working environment, the algorithm finds a path for a formation taking into account possible split of the formation and its consecutive merge. The key part of the solution works on a graph and sequentially employs an extended version of Dijkstra's graph-based algorithm for multiple robots. It is thus deterministic, complete, computationally inexpensive, and finds a solution for a fixed source node to
more » ... other node in the graph. Moreover, the presented solution is general enough to be incorporated into high-level tasks like cooperative surveillance and it can benefit from state-of-the-art formation motion planning approaches, which can be used for evaluation of edges of an input graph. The performed experimental results demonstrate the behavior of the method in complex environments for formations consisting of tens of robots.
doi:10.1109/la-cci.2017.8285722 dblp:conf/lacci/PereyraAK17 fatcat:aew5pnbeq5fbbf5x4iujeps3qi