Research Review of Detection Robot in Positioning and Path Planning
This paper analyzes the research status of detection robots at home and abroad,and discusses the research progress of detection robots with wall-climbing ability in the overall structure,control system,positioning mode and path planning technology.Regarding the positioning mode,the principles and characteristics of trajectory estimation positioning,map matching positioning,and integrated positioning are briefly introduced.And the path planning algorithm is analyzed with a focus on both global and local approaches.The advantages and disadvantages of the existing detection robot in adsorption mode,positioning technology and control algorithm are emphasized.The analysis shows that the common detection robots in the market generally have inadequate positioning accuracy and low sensitivity to environmental changes.In line with the development trend of intelligent and automated detection robots,it is proposed that the optimized extended Kalman filter and particle swarm optimization algorithm will play an important role in the positioning accuracy of robots,and the breakthrough in the research on particle swarm optimization will facilitate the robots in finding the optimal path quickly.The optimized extended Kalman filter and particle swarm optimization is of significant importance for enhancing the performance of detection robots.
NETL
NSTL
万方数据
