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Path planning of ROS autonomous robot based on 2D lidar-based SLAM
- Authors
- Zhao, Shengmin; Hwang, Seung-Hoon
- Issue Date
- 2021
- Publisher
- IEEE
- Keywords
- Ros (Robot operating System); 2D Lidar-based; SLAM (Simultaneous Localization and Mapping); Autonomous robot
- Citation
- 12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION, v.2021-October, pp 1870 - 1872
- Pages
- 3
- Indexed
- SCOPUS
- Journal Title
- 12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION
- Volume
- 2021-October
- Start Page
- 1870
- End Page
- 1872
- ISSN
- 2162-1233
- 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 pluming 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.
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Related Researcher
- Hwang, Seung Hoon
- College of Engineering (Department of Electronics and Electrical Engineering)