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Conference Paper: Fuzzy logic system for miniature climbing robots
Title | Fuzzy logic system for miniature climbing robots |
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Authors | |
Issue Date | 2004 |
Citation | 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2004, v. 3, p. 2094-2099 How to Cite? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/212815 |
DC Field | Value | Language |
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dc.contributor.author | Xiao, Jun | - |
dc.contributor.author | Xiao, Jizhong | - |
dc.contributor.author | Xi, Ning | - |
dc.date.accessioned | 2015-07-28T04:05:06Z | - |
dc.date.available | 2015-07-28T04:05:06Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2004, v. 3, p. 2094-2099 | - |
dc.identifier.uri | http://hdl.handle.net/10722/212815 | - |
dc.description.abstract | This 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.language | eng | - |
dc.relation.ispartof | 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) | - |
dc.title | Fuzzy logic system for miniature climbing robots | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-21244454128 | - |
dc.identifier.volume | 3 | - |
dc.identifier.spage | 2094 | - |
dc.identifier.epage | 2099 | - |