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Path planning of ROS autonomous robot based on 2D lidar-based SLAM

Shengmin Zhao, Seung‐Hoon Hwang

Year
2021
Citations
8

Abstract

Indoor robots are more and more widely used, and their path planning directly affects traverse efficiency and quality, which has always been a hot research topic. Excessive requirements for sensor accuracy and accuracy may reduce the adaptability of path planning or cause unacceptable costs. Based on the analysis of the path planning requirements of the indoor robot, this paper proposes a ROS path planning method based on 2D Lidar-based SLAM. The algorithm is simple and effective. In the simulation test, the robot has a high coverage of the entire area and strong environmental adaptability.

Keywords

AdaptabilityMotion planningTraverseRobotPath (computing)Computer scienceLidarSimultaneous localization and mappingMobile robotArtificial intelligence

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