Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/184615| Title: | Machine learning for autonomous mobile robot | Authors: | Chen, Zhengming | Keywords: | Computer and Information Science | Issue Date: | 2025 | Publisher: | Nanyang Technological University | Source: | Chen, Z. (2025). Machine learning for autonomous mobile robot. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184615 | Abstract: | Localization is a crucial task for robots, and global localization remains a challenging issue. In this thesis, we discuss the problems faced in achieving global localization based on 3D LiDAR and the necessary preliminary work required. On this basis, we developed a global localization algorithm and compared its performance with existing global localization algorithms. Finally, we integrated our algorithm into an existing localization system to create a more comprehensive positioning system, which was deployed on a Ranger Mini robot and tested in the actual environments. | URI: | https://hdl.handle.net/10356/184615 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Theses |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Chen Zhengming-Dissertation-Revised[76][33].pdf Restricted Access | 14.8 MB | Adobe PDF | View/Open |
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.