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Conference Paper: Fuzzy logic system for miniature climbing robots

TitleFuzzy logic system for miniature climbing robots
Authors
Issue Date2004
Citation
2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2004, v. 3, p. 2094-2099 How to Cite?
AbstractThis paper presents a fuzzy navigation and motion control system for miniature climbing robots. After the introduction of robot structure, a navigation approach based on a fuzzy multi-sensor data fusion scheme is proposed, which integrates task scheduling, sensing, planning and real-time execution in a unified task reference framework and makes the task synchronization much easier. For a highly non-linear system as the miniature climbing robot, a fuzzy motion controller with gravity compensation is designed to reduce energy consumption and improve the robot performance at different situations. Experimental results prove the validity of the proposed method. © 2004 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/212815

 

DC FieldValueLanguage
dc.contributor.authorXiao, Jun-
dc.contributor.authorXiao, Jizhong-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:05:06Z-
dc.date.available2015-07-28T04:05:06Z-
dc.date.issued2004-
dc.identifier.citation2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2004, v. 3, p. 2094-2099-
dc.identifier.urihttp://hdl.handle.net/10722/212815-
dc.description.abstractThis paper presents a fuzzy navigation and motion control system for miniature climbing robots. After the introduction of robot structure, a navigation approach based on a fuzzy multi-sensor data fusion scheme is proposed, which integrates task scheduling, sensing, planning and real-time execution in a unified task reference framework and makes the task synchronization much easier. For a highly non-linear system as the miniature climbing robot, a fuzzy motion controller with gravity compensation is designed to reduce energy consumption and improve the robot performance at different situations. Experimental results prove the validity of the proposed method. © 2004 IEEE.-
dc.languageeng-
dc.relation.ispartof2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)-
dc.titleFuzzy logic system for miniature climbing robots-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-21244454128-
dc.identifier.volume3-
dc.identifier.spage2094-
dc.identifier.epage2099-

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