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Sensor-based algorithm for collision-free avoidance of mobile robots in complex dynamic environments

Autor: Thierry Sentenac, D. Leca, V. Cadenat

Publikováno v: 2019 European Conference on Mobile Robots (ECMR).-ISBN 978-1-7281-3606-6
2019 European Conference on Mobile Robots (ECMR)
2019 European Conference on Mobile Robots (ECMR), Sep 2019, Prague, Czech Republic. p.1-6, ⟨10.1109/ECMR.2019.8870344⟩
ECMR

International audience; This paper deals with the problem of navigation of unmanned vehicles through poorly known environments cluttered with static and dynamic obstacles. The robot is equipped with a LiDAR able to provide a scan of the surroundings

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6302d8e5a882fef4bf14459d1668dce6
https://imt-mines-albi.hal.science/hal-02334205

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Autor: M. Devy, R. Swain Oropeza, V. Cadenat

Publikováno v: Journal of Intelligent and Robotic Systems. 25:357-369

This paper presents the application of the Visual Servoing approach to a mobile robot which must execute coordinate motions in a known indoor environment. In this work, we are interested in the execution and control of basic motions like Go to an obj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::387563d26b4c547d0363c46feb05a849
https://doi.org/10.1023/a:1008179028940

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Incremental On-Line Topological Map Learning for A Visual Homing Application

Autor: E. Motard, Bogdan Raducanu, V. Cadenat, Jordi Vitrià

Publikováno v: ICRA

In this paper we propose an on-line incremental vision-based topological map learning for AIBO robots. The topological map is represented through a graph, where the vertices encode views from the robot's environment and the edges the spatial relation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07b18061938b2622e057a3b92bb22cad
https://doi.org/10.1109/robot.2007.363623

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A controller to avoid both occlusions and obstacles during a vision-based navigation task in a cluttered environment

Autor: V. Cadenat, David Folio

Publikováno v: Proceedings of the 44th IEEE Conference on Decision and Control.

This paper presents a sensor-based controller allowing to visually drive a mobile robot towards a target while avoiding visual features occlusions and obstacle collisions. We consider the model of a cart-like robot equipped with proximetric sensors a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c1d207d5891f429eeba38f3023c9928
https://doi.org/10.1109/cdc.2005.1582770

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