A Mobile Robot System for 2D/3D SLAM
Presenter(s)
Tao Peng
Files
Description
This project presents a mobile robot system for solving the simultaneous localization and mapping (SLAM) problem, a key issue for autonomous navigation in unknown environments. The considered scenario is that of a mobile robot using range scans, provided by a 2D LiDAR, to update a map of the environment and simultaneously estimate its position and orientation within the map. Experimental tests performed within a real-world indoor environment demonstrate the performance of the proposed SLAM mobile robot system.The mobile robot system can be easily modified to be a 3D SLAM system based on RGB-D camera.
Publication Date
4-24-2019
Project Designation
Graduate Research
Primary Advisor
Eric J. Balster, John Scott Loomis
Primary Advisor's Department
Electrical and Computer Engineering
Keywords
Stander Symposium project
Recommended Citation
"A Mobile Robot System for 2D/3D SLAM" (2019). Stander Symposium Projects. 1441.
https://ecommons.udayton.edu/stander_posters/1441