Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay
Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph, Merkel, Parker C. Lusk, and Jonathan P. How

TL;DR
Robust MADER (RMADER) is a decentralized, asynchronous multiagent trajectory planner that effectively manages communication delays, ensuring safety and collision-free paths in real-world experiments.
Contribution
This paper introduces RMADER, a novel multiagent trajectory planning algorithm that guarantees safety despite communication delays, unlike existing methods assuming perfect communication.
Findings
Achieved 100% collision-free success rate in simulations and hardware tests.
Outperformed state-of-the-art approaches in handling communication delays.
Validated robustness of RMADER in real-world multiagent flight experiments.
Abstract
Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-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.
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Taxonomy
TopicsRobotic Path Planning Algorithms · Multi-Agent Systems and Negotiation · Reinforcement Learning in Robotics
