Abstract: This paper addresses the limitations of the A* algorithm in UAV 3D path planning, such as low efficiency, excessive redundant waypoints, numerous turns in the planned path, and the inability ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Abstract: This paper proposes a trajectory planning method for Automated Guided Vehicle (AGV) based on the Kinodynamic A* algorithm, aiming to generate collision-free, kinematically feasible, and time ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
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