4 TNO - The Netherlands Organisation for Applied Scientific Research (The Hague - Pays-Bas)
Article Dans Une Revue
KI - Künstliche Intelligenz
Année : 2015
4 TNO - The Netherlands Organisation for Applied Scientific Research (The Hague - Pays-Bas)
5 Kungliga Tekniska Hogskolan (France) "> Kungliga Tekniska Hogskolan
6 ALCOR (Italie)
- UNIROMA - Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (Piazzale Aldo Moro 5, 00185 Roma - Italie)
7 Center for Machine Perception (Czech Technical University in Prague Faculty of Electrical Engineering Department of Cybernetics Technicka 2 166 27 Prague 6 Czech republic - République tchèque)
- CTU - Czech Technical University in Prague (České vysoké učení technické v Praze Zikova 1903/4 166 36 Praha 6 Česká republika - République tchèque)
8 Fraunhofer IAIS - Fraunhofer Institute for Intelligent Analysis and Information Systems (Schloss Birlinghoven, 53757 Sankt Augustin - Allemagne)
- Fraunhofer-Gesellschaft - Fraunhofer (Hansastraße 27c, 80686 München - Allemagne)
Résumé
This paper contains a description of the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. As robotic disaster relief systems are still scarce, any incident serious enough to render robot involvement will most likely involve a sequence of sorties over several hours, days and even months. TRADR focuses on the persistence of environment models, multi-robot action models, and human-robot teaming, in order to allow incremental capability improvement over the duration of a mission. TRADR applies a user centric design approach to disaster response robotics, with use cases involving the response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne). The paper overviews the project objectives and motivation, the structure and approach, as well as the partners and related work. Keywords disaster response robotics · persistent environment models · persistent multi-robot action models · persistent human-robot teaming · user-centric design
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https://hal.science/hal-01143484
Soumis le : vendredi 17 avril 2015-16:27:14
Dernière modification le : lundi 18 mars 2024-14:26:04
Archivage à long terme le : mardi 18 avril 2017-22:52:15
Dates et versions
- HAL Id : hal-01143484 , version 1
- DOI : 10.1007/s13218-015-0352-5
Citer
Ivana Kruijff-Korbayová, Francis Colas, Koen Hindriks, Mark Neerincx, Petter Ögren, et al.. TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. KI - Künstliche Intelligenz, 2015, 29 (2), pp.193--201. ⟨10.1007/s13218-015-0352-5⟩. ⟨hal-01143484⟩
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