Kohlbrecher, Stefan (2015)
A Holistic Approach for Highly Versatile Supervised Autonomous Urban Search and Rescue Robots.
Technische Universität Darmstadt
Dissertation, Erstveröffentlichung
Kurzbeschreibung (Abstract)
The use of robots for search and rescue tasks has tremendous potential to mitigate disasters and save lives of both of disaster victims and first responders. Moreover, robots actually deployed for disaster response are neither highly intelligent (i.e. autonomous) nor do they intelligently make best use of a human supervisor in the loop nor do multiple heterogeneous robots work together in an intelligent manner.
Within this thesis, a holistic systems-oriented approach together with a number of developments of key functionalities to increase robot autonomy for rescue robots systems are presented and evaluated. These are usable for a wide range of robotic systems and operation modes, from unmanned ground vehicles for exploration and surveillance to complex high degree of freedom humanoid robotic systems that can be used for remote manipulation in disaster environments and thus, may potentially serve as "avatars" for human response forces supervising them. Importantly, cooperation between one or more human supervisors and such robotic systems is demonstrated, increasing overall reliability and capability.
The presented approaches are evaluated in simulated and real world robot experiments and presented within the scope of some of the most competitive international competitions for rescue and disaster response robots in the world, the the DARPA Robotics Challenge competition and the RoboCup Rescue Robot League, demonstrating their performance beyond laboratory environments and representing an important milestone towards their future use in real disaster environments.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2015 | ||||
Autor(en): | Kohlbrecher, Stefan | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | A Holistic Approach for Highly Versatile Supervised Autonomous Urban Search and Rescue Robots | ||||
Sprache: | Englisch | ||||
Referenten: | von Stryk, Prof. Dr. Oskar ; Nardi, Prof. Dr. Daniele | ||||
Publikationsjahr: | 20 Oktober 2015 | ||||
Ort: | Darmstadt | ||||
Datum der mündlichen Prüfung: | 2 Dezember 2015 | ||||
URL / URN: | http://tuprints.ulb.tu-darmstadt.de/5816 | ||||
Kurzbeschreibung (Abstract): | The use of robots for search and rescue tasks has tremendous potential to mitigate disasters and save lives of both of disaster victims and first responders. Moreover, robots actually deployed for disaster response are neither highly intelligent (i.e. autonomous) nor do they intelligently make best use of a human supervisor in the loop nor do multiple heterogeneous robots work together in an intelligent manner. Within this thesis, a holistic systems-oriented approach together with a number of developments of key functionalities to increase robot autonomy for rescue robots systems are presented and evaluated. These are usable for a wide range of robotic systems and operation modes, from unmanned ground vehicles for exploration and surveillance to complex high degree of freedom humanoid robotic systems that can be used for remote manipulation in disaster environments and thus, may potentially serve as "avatars" for human response forces supervising them. Importantly, cooperation between one or more human supervisors and such robotic systems is demonstrated, increasing overall reliability and capability. The presented approaches are evaluated in simulated and real world robot experiments and presented within the scope of some of the most competitive international competitions for rescue and disaster response robots in the world, the the DARPA Robotics Challenge competition and the RoboCup Rescue Robot League, demonstrating their performance beyond laboratory environments and representing an important milestone towards their future use in real disaster environments. |
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Alternatives oder übersetztes Abstract: |
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Freie Schlagworte: | urban search and rescue, robots, simultaneous localization and mapping | ||||
URN: | urn:nbn:de:tuda-tuprints-58162 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
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Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik |
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Hinterlegungsdatum: | 04 Dez 2016 20:55 | ||||
Letzte Änderung: | 04 Dez 2016 20:55 | ||||
PPN: | |||||
Referenten: | von Stryk, Prof. Dr. Oskar ; Nardi, Prof. Dr. Daniele | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 2 Dezember 2015 | ||||
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