JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 33 Issue 4
July 2018
Article Contents
ZHANG Zhiyuan, ZHAO Xing and JIN Ye. Improvement of traversal path planning algorithm of cleaning robot based on biologically inspired neural network[J]. Journal of Light Industry, 2018, 33(4): 73-78,85. doi: 10.3969/j.issn.2096-1553.2018.04.010
Citation: ZHANG Zhiyuan, ZHAO Xing and JIN Ye. Improvement of traversal path planning algorithm of cleaning robot based on biologically inspired neural network[J]. Journal of Light Industry, 2018, 33(4): 73-78,85. doi: 10.3969/j.issn.2096-1553.2018.04.010 shu

Improvement of traversal path planning algorithm of cleaning robot based on biologically inspired neural network

  • Received Date: 2018-02-07
  • In view that the traversal area repetition rate and the total length of the traversal path of the traversal path planning algorithm of the cleaning robot based on the biologically inspired neural network are large, the algorithm was improved. In the relief algorithm, the method of real-time monitoring of the neurons in the neighborhood of the robot was adopted to shorten the path for the robot to get out of difficulty. The state criteria of neighboring neurons were introduced to make the robot traverse along the edge of the obstacle traversal when obstructing obstacles in an island. Simulation results showed that the improved algorithm could effectively reduce the traversal area repetition rate,the total length of the traversal path and the number of turning.
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