Modern Manufacturing Engineering ›› 2024, Vol. 521 ›› Issue (2): 150-158.doi: 10.16731/j.cnki.1671-3133.2024.02.020

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A survey of wall-following algorithm for mobile robot

XU Sheng1,2, SHA Xinmei3, SU Ming4   

  1. 1 Guodian Nanjing Automation Co.,Ltd.,Nanjing 210026,China;
    2 Nanjing SAC Power Grid Automation Co.,Ltd.,Nanjing 210026,China;
    3 School of Mechanical and Electrical Engineering,Sanjiang University,Nanjing 210012,China;
    4 School of Mechanical Engineering,Southeast University,Nanjing 211189,China
  • Received:2023-03-21 Online:2024-02-18 Published:2024-05-29

Abstract: The wall-following algorithm is a local path planning algorithm,and its global convergence is often better than other traditional methods.In order to promote the research of wall-following algorithm in the field of path planning,the latest progress and research results of mobile robots using wall-following algorithm to plan paths were reviewed.According to the obstacle avoidance strategy and implementation of wall-following algorithm,wall-following algorithm was divided into the wall-following algorithm based on the target direction angle,the wall-following algorithm based on M-Line,the wall-following algorithm based on the optimal obstacle avoidance direction,the wall-following algorithm based on historical information and the wall-following algorithm based on multi algorithm fusion,and the advantages and disadvantages of various algorithms were summarized.However,in the actual environment,due to the idealization of the simulation environment,the rigidity of the behavior cooperation mechanism,and the noise of sensors,there is a big gap between the wall-following algorithm in practical application and the theoretical results.Considering that there are still many shortcomings in the existing algorithms,the future development trend of the wall-following algorithm was prospected from three aspects,namely developing a wall-algorithm suitable for complex real environments,exploring a more efficient and reasonable multi-behavior switching mechanism and reducing the impact of sensor noise in real environments.

Key words: path planning, wall-following algorithm, mobile robot, unknown environment

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