Treasure hunting for humanoids robot

Olivier Stasse 1 Torea Foissotte 2, 1 Diane Larlus 3 Abderrahmane Kheddar 2, 1 Kazuhito Yokoi 1
1 CNRS-AIST JRL - Joint Robotics Laboratory [France]
2 IDH - Interactive Digital Humans
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : This paper intends to describe the current status of our group in trying to make a humanoid robot autonomously build an internal representation of an object, and later on to find it in an unknown environment. This problem is named "treasure hunting". In both cases, the main difficulty is to be able to find the next best position of the vision sensor in order to realize the behavior while taking care of the robots limitation. We briefly describe the models and the processes we are currently investigating in building this overall behavior. Along the description we stress the current key problems faced while trying to solve this problem.
Type de document :
Communication dans un congrès
Humanoids, Dec 2008, Daejeon, South Korea. 8th IEEE-RAS International Conference on Humanoid Robots, 2008, W-"Workshop on Cognitive Humanoid Vision"
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Soumis le : jeudi 14 mars 2013 - 17:05:55
Dernière modification le : jeudi 24 mai 2018 - 15:59:24
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Olivier Stasse, Torea Foissotte, Diane Larlus, Abderrahmane Kheddar, Kazuhito Yokoi. Treasure hunting for humanoids robot. Humanoids, Dec 2008, Daejeon, South Korea. 8th IEEE-RAS International Conference on Humanoid Robots, 2008, W-"Workshop on Cognitive Humanoid Vision". 〈lirmm-00800956〉

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