Main Image
Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session I - Machine Learning
Research on Mobile Robot SLAM Based on Laser Range Finder
R. Gao,* L. Zhang, S. Zhang
*corresponding author
Full text: pdf
Pre-published on: 2017 July 17
Published on: 2017 September 06
[Purpose] Robot positioning and construction of the environmental map is an important guarantee for its own task. In the unknown environment, problems of robot positioning and map creation are interdependent. Researchers have put forward the problems of simultaneous robot positioning and map creation (SLAM).
[Method] In this paper, the landmark extraction algorithm based on RANSAC method is studied for the two-dimensional environment, and the algorithm is improved according to the application requirements of SLAM problem. Finally, the mobile robot is used to experiment
on the landmark extraction and EKF-SLAM algorithm.
[Results] The results show that the algorithm of Landmark extraction and EKF-SLAM is valid.
Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.