Abstract
Coordinated movement among multiple robots is crucial in various multi-robot operations. This paper presents a novel approach to multi-robot formation planning. The proposed method builds upon distributed feasible rigid formation planning, finding a set of motions that allow robots to navigate while keeping an a priori determined formation shape. By mapping desired velocities into a parameter space, performing consensus and constraint steps, and remapping to robot velocities, the algorithm ensures that the robots maintain formation. The efficacy and run-time efficiency have been evaluated through simulations, demonstrating its promise for deployment on computation-limited robots.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 21st International Conference on Advanced Robotics |
| Publisher | IEEE |
| Publication date | 2023 |
| Pages | 627-632 |
| ISBN (Electronic) | 9798350342291 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 21st International Conference on Advanced Robotics - Khalifa University, Abu Dhabi, United Arab Emirates Duration: 5 Dec 2023 → 8 Dec 2023 |
Conference
| Conference | 21st International Conference on Advanced Robotics |
|---|---|
| Location | Khalifa University |
| Country/Territory | United Arab Emirates |
| City | Abu Dhabi |
| Period | 05/12/2023 → 08/12/2023 |
Keywords
- Consensus
- Distributed systems
- Motion planning
- Multi-robot Systems
- Robot formations
- Robot swarms
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