@inproceedings{892b62b317e54f80bbf72747e90ef7e4,
title = "Path planning of ROS autonomous robot based on 2D lidar-based SLAM",
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 = "2D Lidar-based, Autonomous robot, Ros (Robot operating System), SLAM (Simultaneous Localization and Mapping)",
author = "Shengmin Zhao and Hwang, {Seung Hoon}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th International Conference on Information and Communication Technology Convergence, ICTC 2021 ; Conference date: 20-10-2021 Through 22-10-2021",
year = "2021",
doi = "10.1109/ICTC52510.2021.9620783",
language = "English",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "1870--1872",
booktitle = "ICTC 2021 - 12th International Conference on ICT Convergence",
address = "United States",
}