SID is a decentralized planner that reuses a constraint-aware diffusion model to simulate neighbors' trajectories and then generate collision-free own paths, enabling minimal communication and scaling to 108 robots.
Hai Zhu, Francisco Martinez Claramunt, Bruno Brito, and Javier Alonso-Mora
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An optimization framework translates high-level user objectives into feasible quadrotor trajectories through an interactive 3D design tool.
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Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
An optimization framework translates high-level user objectives into feasible quadrotor trajectories through an interactive 3D design tool.