NDLI: 3D path planning for mobile robots using annealing neural network

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3D path planning for mobile robots using annealing neural network

Content Provider	IEEE Xplore Digital Library
Author	Kroumov, V. Jianli Yu
Copyright Year	2009
Description	Author affiliation: Department of Mathematics and Physics, Zhongyuan University of Technology, Zhengzhou 450007, China (Jianli Yu) \|\| Department of Electrical and Electronic Engineering, Okayama University of Science, 1-1 Ridai-cho, 700-0005, Japan (Kroumov, V.)
Abstract	This paper presents a novel potential field based 3D path planning technique for differential drive mobile robots, moving in known environment. The path planners are based on description of the obstacles by simulated annealing neural networks. The generated paths are piecewise linear with changing directions at the corners of the obstacles. The proposed planner can be successfully applied to snake robots, flying robots, and control of Gantry cranes. Several simulation results show the effectiveness of the proposed algorithm.
Starting Page	130
Ending Page	135
File Size	2870908
Page Count	6
File Format	PDF
ISBN	9781424434916
DOI	10.1109/ICNSC.2009.4919259
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Path planning Mobile robots Neural networks Simulated annealing Piecewise linear techniques Robot control Cranes Underwater vehicles Mathematics Physics
Content Type	Text
Resource Type	Article

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