Abstract
This study builds upon existing odometry calibration formulation for two-wheeled differential drive robots. The proposed approach increases the potential for autonomous calibration by utilising closed-loop control where the mobile robot is programmed to follow a line marked out on a surface. The proposed approach negates the need for external measurements made by a human operator within the calibration process. This study makes a comparative analysis and evaluation between the presented approach against an established prior approach by implementing both on a real (not simulated) mobile robot and capturing performance data.
| Original language | English |
|---|---|
| Title of host publication | Towards Autonomous Robotic Systems (TAROS 2024) |
| Editors | M. Nazmul Huda, Mingfeng Wang, Tatiana Kalganova |
| Publisher | Springer, Cham |
| Pages | 130-142 |
| Number of pages | 12 |
| ISBN (Electronic) | 9783031720628 |
| ISBN (Print) | 9783031720611 |
| DOIs | |
| Publication status | Published - 30 Dec 2024 |
| Event | Towards Autonomous Robotic Systems (TAROS) 2024 - Brunel University, London, United Kingdom Duration: 21 Aug 2024 → 23 Aug 2024 Conference number: 25th |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Cham |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Towards Autonomous Robotic Systems (TAROS) 2024 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 21/08/24 → 23/08/24 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG.
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