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Description
  • Performance of exploration strategies strongly depends on the process of determination of a~next robot goal. Current approaches define different utility functions how to evaluate and select possible next goal candidates. One of the mostly used evaluation criteria is the distance cost that prefers candidates close to the current robot position. If this is the only criterion, simply the nearest candidate is chosen as the next goal. Although this criterion is simple to implement and gives feasible results there are situations where the criterion leads to wrong decisions. This paper presents the distance cost that reflects traveling through all goal candidates. The cost is determined as a~solution of the Traveling Salesman Problem using the Chained Lin-Kernighan heuristic. % to find a near optimal solution. The cost can be used as a~stand-alone criterion as well as it can be integrated into complex decision systems. Experimental results for open-space and office-like experiments show that the proposed approach outperforms the standard one in the length of the traversed trajectory during the exploration while the computational burden is not significantly increased.
  • Performance of exploration strategies strongly depends on the process of determination of a~next robot goal. Current approaches define different utility functions how to evaluate and select possible next goal candidates. One of the mostly used evaluation criteria is the distance cost that prefers candidates close to the current robot position. If this is the only criterion, simply the nearest candidate is chosen as the next goal. Although this criterion is simple to implement and gives feasible results there are situations where the criterion leads to wrong decisions. This paper presents the distance cost that reflects traveling through all goal candidates. The cost is determined as a~solution of the Traveling Salesman Problem using the Chained Lin-Kernighan heuristic. % to find a near optimal solution. The cost can be used as a~stand-alone criterion as well as it can be integrated into complex decision systems. Experimental results for open-space and office-like experiments show that the proposed approach outperforms the standard one in the length of the traversed trajectory during the exploration while the computational burden is not significantly increased. (en)
Title
  • On Distance Utility in the Exploration Task
  • On Distance Utility in the Exploration Task (en)
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  • On Distance Utility in the Exploration Task
  • On Distance Utility in the Exploration Task (en)
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  • RIV/68407700:21230/11:00189253!RIV12-MSM-21230___
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  • Z(MSM6840770038)
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  • 218002
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  • RIV/68407700:21230/11:00189253
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  • Mobile Robot; Exploration; Travelling Salesman Problem; Chained Lin-Kernighan Heuristics (en)
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  • [B3FEFC183AB2]
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  • Shanghai
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  • Madison
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  • ICRA2011: Proceedings of 2011 IEEE International Conference on Robotics and Automation
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  • Faigl, Jan
  • Kulich, Miroslav
  • Přeučil, Libor
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http://linked.open...n/vavai/riv/zamer
issn
  • 1050-4729
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICRA.2011.5980221
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  • Omnipress
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  • 978-1-61284-386-5
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  • 21230
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