Path Planning Algorithm for Robot in 3D Environment Based on Neural Network

  • Authors:

  • Jianli Yu;Qifeng Zhang;Valeri Kroumov;Siya Cheng;Zongwei Zhang

  • Affiliations:

  • Dept. of Electronics and Information, Zhongyuan University of Technology, Zhengzhou, China 450007;Modern Education Center, Zhongyuan University of Technology, Zhengzhou, China 450007;Dept. of Electrical and Electronic Engineering, Okayama University of Science, Okayama, Japan 700-0005;Dept. of Electronics and Information, Zhongyuan University of Technology, Zhengzhou, China 450007;Dept. of Electronics and Information, Zhongyuan University of Technology, Zhengzhou, China 450007

  • Venue:
  • ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
  • Year:
  • 2008

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Abstract

The problem of path planning is studied for the case of a robot moving in a three-dimensional known environment. An aggressive algorithm using a description of the obstacles based on neural network is proposed. The algorithm allows constructing an optimal path and the calculation speed for the proposed algorithm is comparatively fast. Simulation results show the effectiveness of the proposed algorithm.