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Conference Paper: Intelligent control for wall climbing robot

TitleIntelligent control for wall climbing robot
Authors
Xiao, JunWang, HongguangXi, Ning
KeywordsGait
Climbing robot
Data fusion
Issue Date2009
Citation
2009 Chinese Control and Decision Conference, CCDC 2009, 2009, p. 1336-1341 How to Cite?
DOI: http://dx.doi.org/10.1109/CCDC.2009.5192837
AbstractAn intelligent control system is presented in this paper for a wall climbing robot. After the introduction of robot system design, a task reference method is proposed which is based on a fuzzy multi-sensor data fusion scheme. The method provides a novel mechanism to efficiently integrate task scheduling, action planning and motion control in a unified framework. A robot gait generation method is described which switches the robot locomotion between different motion modes with the help of a finite state machine driven by sensory information. Experimental results prove the validity of the proposed methods. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213068

 

DC FieldValueLanguage
dc.contributor.authorXiao, Jun-
dc.contributor.authorWang, Hongguang-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:06:02Z-
dc.date.available2015-07-28T04:06:02Z-
dc.date.issued2009-
dc.identifier.citation2009 Chinese Control and Decision Conference, CCDC 2009, 2009, p. 1336-1341-
dc.identifier.urihttp://hdl.handle.net/10722/213068-
dc.description.abstractAn intelligent control system is presented in this paper for a wall climbing robot. After the introduction of robot system design, a task reference method is proposed which is based on a fuzzy multi-sensor data fusion scheme. The method provides a novel mechanism to efficiently integrate task scheduling, action planning and motion control in a unified framework. A robot gait generation method is described which switches the robot locomotion between different motion modes with the help of a finite state machine driven by sensory information. Experimental results prove the validity of the proposed methods. © 2009 IEEE.-
dc.languageeng-
dc.relation.ispartof2009 Chinese Control and Decision Conference, CCDC 2009-
dc.subjectGait-
dc.subjectClimbing robot-
dc.subjectData fusion-
dc.titleIntelligent control for wall climbing robot-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CCDC.2009.5192837-
dc.identifier.scopuseid_2-s2.0-70449360717-
dc.identifier.spage1336-
dc.identifier.epage1341-

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