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The kidnapping Problem of Mobile Robots: A Set Membership Approach

Abstract : This paper presents a set membership method to deal with the kidnapping problem in mobile robotics. By using a range sensor, the odometry and a discrete map of an indoor environment, a robot has to detect a kidnapping situation, while performing a pose tracking, and then perform a global localization to estimate its new pose (position and orientation). In a bounded error context the IAL (Interval Analysis Localization) algorithm searches a small box (interval vector) that includes the robot's pose, using interval analysis and constraint propagation tools. This algorithm allows to perform a pose tracking and a global localization. Using this algorithm, it is possible to deal with the kidnapping problem. This method is tested using real data, recorded during the CAROTTE challenge, organized by the French ANR (National Research Agency) and the French Army. As it is shown in this paper with the IAL algorithm, interval analysis is an efficient tool to solve the kidnapping problem.
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Contributor : Remy Guyonneau Connect in order to contact the contributor
Submitted on : Tuesday, January 19, 2021 - 9:41:26 AM
Last modification on : Wednesday, October 20, 2021 - 3:19:32 AM
Long-term archiving on: : Tuesday, April 20, 2021 - 6:20:19 PM


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  • HAL Id : hal-03114590, version 1



Rémy Guyonneau, Sébastien Lagrange, Laurent Hardouin, Philippe Lucidarme. The kidnapping Problem of Mobile Robots: A Set Membership Approach. 7th National Conference on "Control Architectures of Robots", May 2012, Nancy, France. ⟨hal-03114590⟩



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