Abstract
The topic of local planner algorithms applicable to omnidirectional mobile robots is yet to thoroughly investigated. This study investigates the performance of the most commonly implemented local planner algorithms for omnidirectional mobile robots by conducting a comparative analysis between the Dynamic Window Approach (DWA) and the Timed Elastic Band (TEB) algorithms. The evaluation was conducted within real-world settings, specifically targeting the challenges of parking maneuvers, dynamic obstacle avoidance and turning maneuvers. Performance metrics, tailored to each scenario, were employed to assess the algorithms. The results demonstrate that the TEB method outperforms the DWA in the tested conditions.
Original language | English |
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Title of host publication | 2023 8th International Conference on Robotics and Automation Engineering, ICRAE 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 26-30 |
Number of pages | 5 |
ISBN (Electronic) | 9798350327656 |
DOIs | |
Publication status | Published - 2023 |
Event | 8th International Conference on Robotics and Automation Engineering, ICRAE 2023 - Singapore, Singapore Duration: 17 Nov 2023 → 19 Nov 2023 |
Publication series
Name | 2023 8th International Conference on Robotics and Automation Engineering, ICRAE 2023 |
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Conference
Conference | 8th International Conference on Robotics and Automation Engineering, ICRAE 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 17/11/23 → 19/11/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- DWA
- Local Planner
- Omnidirectional mobile robots
- ROS
- TEB