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Communication Dans Un Congrès Année : 2018

Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach

Résumé

This paper addresses the problem of motion planning for a multirobot system in a partially known environment where conditions such as uncertainty about robots' positions and communication delays are real. In particular, we detail the use of a Distributed Receding Horizon Approach that guarantees collision avoidance with static obstacles and between robots communicating with each other. Underlying optimization problems are solved by using a Sequential Least Squares Programming algorithm. Experiments with real nonholonomic mobile platforms are performed. The proposed framework is compared with the Dynamic Window approach to motion planning in a single robot setup. A second experiment shows results for a multirobot case using two robots where collision is avoided even in presence of significant localization uncertainties.
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Dates et versions

hal-01935322 , version 1 (26-11-2018)

Identifiants

  • HAL Id : hal-01935322 , version 1

Citer

José M Mendes Filho, Eric Lucet, David Filliat. Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Nov 2018, Singapour, Singapore. ⟨hal-01935322⟩
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