Akule: Fast and Scalable Multi-Robot Motion Planning via Spa
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Akule: Fast and Scalable Multi-Robot Motion Planning via Sparse Interaction Diffusion. Akule is a sparse interaction diffusion framework for multi-robot motion planning that combines a frozen single-robot prior with learned modules for pairwise correction, contextual selection, and effect composition. It a…
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- arXiv Robotics — research abstractsAkule: Fast and Scalable Multi-Robot Motion Planning via Sparse Interaction Diffusion
Akule is a sparse interaction diffusion framework for multi-robot motion planning that combines a frozen single-robot prior with learned modules for pairwise correction, contextual selection, and effect composition. It achieves up to 25× speedups and supports planning for up to 256 robots across diverse benchmarks.
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