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Tracking and localization for omni-directional mobile industrial robot using reflectors
Authors:Shuai Guo  Ting-Ting Fang  Tao Song  Feng-Feng Xi  Bang-Guo Wei
Affiliation:1.Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200444, People's Republic of China;2.Department of Aerospace Engineering, Ryerson University, Toronto, Canada
Abstract:In this paper, an improved tracking and localization algorithm of an omni-directional mobile industrial robot is proposed to meet the high positional accuracy requirement, improve the robot's repeatability positioning precision in the traditional trilateral algorithm, and solve the problem of pose lost in the moving process. Laser sensors are used to identify the reflectors, and by associating the reflectors identified at a particular time with the reflectors at a previous time, an optimal triangular positioning method is applied to realize the positioning and tracking of the robot. The experimental results show that positioning accuracy can be satisfied, and the repeatability and anti-jamming ability of the omni-directional mobile industrial robot will be greatly improved via this algorithm. The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-018-0216-y
Keywords:Mobile industrial robot  Tracking and positioning  Matching  
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