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Bayesian Rendezvous for Distributed Robotic Systems
In this paper, we state, using thorough mathe- matical analysis, sufficient conditions to perform a rendezvous maneuver with a group of differential-wheeled robots endowed with an on-board, noisy, local positioning system. In particular, we extend the existing framework of noise-free, graph-based distributed control with a layer of Bayesian reasoning allowing to solve the rendezvous problem more efficiently in presence of uncertainties and in a probabilistically sound way. Finally we perform extensive experiments with a team of four real robots, and simulation with their corresponding simulated counterpart, to confirm the benefits of our Bayesian approach.
Keywords: rendezvous ; mobile robots ; bayes filter
Reference
- EPFL-CONF-168217
Record created on 2011-08-22, modified on 2012-03-21