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Sophisticated Offline Analysis of Teams of Autonomous Mobile Robots

Thomas, Dirk ; Scholz, Dorian ; Templer, Simon ; Stryk, Oskar von ; Stryk, Oskar von (2010)
Sophisticated Offline Analysis of Teams of Autonomous Mobile Robots.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Debugging control software for an autonomous mobile robot is a dif?cult and time consuming task. But it gets even harder, when analyzing a whole team of robots and their team behavior. The quality of the robots" decisions based on their current knowledge cannot be judged anymore by merely looking at their actions from the outside. In this paper an approach for collecting intrinsic and extrinsic data of a team of robots during full operation and analyzing this data of?ine is described. Since the amount of data to be collected is quite large a method for automated and semi-automated analysis is shown - making it possible to detect known problems in an automated process and mark potentially interesting events for manual review. Furthermore a solution to reuse existing single robot debugging tools on teams of robots, without rewriting each tool, is presented.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Thomas, Dirk ; Scholz, Dorian ; Templer, Simon ; Stryk, Oskar von ; Stryk, Oskar von
Art des Eintrags: Bibliographie
Titel: Sophisticated Offline Analysis of Teams of Autonomous Mobile Robots
Sprache: Englisch
Publikationsjahr: Dezember 2010
Buchtitel: Proc. 5th Workshop on Humanoid Soccer Robots at the 2010 IEEE-RAS Int. Conf. on Humanoid Robots
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Kurzbeschreibung (Abstract):

Debugging control software for an autonomous mobile robot is a dif?cult and time consuming task. But it gets even harder, when analyzing a whole team of robots and their team behavior. The quality of the robots" decisions based on their current knowledge cannot be judged anymore by merely looking at their actions from the outside. In this paper an approach for collecting intrinsic and extrinsic data of a team of robots during full operation and analyzing this data of?ine is described. Since the amount of data to be collected is quite large a method for automated and semi-automated analysis is shown - making it possible to detect known problems in an automated process and mark potentially interesting events for manual review. Furthermore a solution to reuse existing single robot debugging tools on teams of robots, without rewriting each tool, is presented.

Freie Schlagworte: Robot Team Analysis, RoboCup
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik
Hinterlegungsdatum: 20 Jun 2016 23:26
Letzte Änderung: 15 Mär 2019 09:58
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