Abstract
We consider the multi-agent collision avoidance problem for a team of wheeled mobile robots. Recently, a local solution to this problem, based on a game-theoretic formulation, has been provided and validated via numerical simulations. Due to its local nature, the result is not well-suited for online applications. In this article, we propose a novel hybrid implementation of the control inputs that yields a control strategy suited for the online navigation of mobile robots. Moreover, subject to a certain dwell time condition, the resulting trajectories are globally convergent. The control design is demonstrated both via simulations and experiments.
| Original language | English |
|---|---|
| Pages (from-to) | 1750-1757 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Control Systems Technology |
| Volume | 29 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jul 2021 |
| Externally published | Yes |
Keywords
- Collision avoidance
- hybrid systems
- multi-robot systems
- nonlinear control
- path planning for multiple robots
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