Modeling human flows from robots perception : application to navigation in dynamic environment

Abstract : An important challenge of mobile robotics is to allow efficient and safe navigation in human populated environments. This requires the robots to perceive human presence and motion, and more generally to model and exploit the human flows in the environment. In this context we address the problem of modeling human flows from the perception of mutli-robot systems. This leads us to propose a two layer grid model of human motion probabilities. The first grid is computed from the observations and the second introduces a human motion prediction that allows to accelerate the flow modeling. We study the advantage of computing the proposed flow grid in path planning and navigation tasks inside populated indoor environment. We compare the model with two other A*-based models in simulations involving 200 moving persons and 4 collaborative robots.
Type de document :
Communication dans un congrès
RSS Workshop On-line decision-making in multi-robot coordination, Jun 2016, Ann Arbor, United States. 〈http://robotics.fel.cvut.cz/demur16/〉
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https://hal.archives-ouvertes.fr/hal-01357791
Contributeur : Olivier Simonin <>
Soumis le : mardi 30 août 2016 - 14:44:33
Dernière modification le : mardi 5 décembre 2017 - 14:40:20

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  • HAL Id : hal-01357791, version 1

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Jacques Saraydaryan, Fabrice Jumel, Olivier Simonin. Modeling human flows from robots perception : application to navigation in dynamic environment. RSS Workshop On-line decision-making in multi-robot coordination, Jun 2016, Ann Arbor, United States. 〈http://robotics.fel.cvut.cz/demur16/〉. 〈hal-01357791〉

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