Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay
Kondo, Kota, Tordesillas, Jesus, Figueroa, Reinaldo, Rached, Juan, Merkel, Joseph, Lusk, Parker C., How, Jonathan P.
–arXiv.org Artificial Intelligence
Abstract-- Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-ofthe-art approaches typically assume perfect communication environments, which is hardly realistic in real-world experiments. This paper presents Robust MADER (RMADER), a decentralized and asynchronous multiagent trajectory planner that can handle communication delays among agents. By broadcasting both the newly optimized trajectory and the committed trajectory, and by performing a delay check step, RMADER is able to guarantee safety even under communication delay. RMADER was validated through extensive simulation and hardware flight experiments and achieved a 100% success rate of collision-free trajectory generation, outperforming state-of-the-art approaches.
arXiv.org Artificial Intelligence
Oct-26-2022
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
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- Research Report (0.85)
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