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📄 ResearchJune 4, 2026

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

Robot manipulation alternates between low-risk transit phases that call for fast execution and high-risk contact stages that demand slow, precise motion. Yet existing Vision-Language-Action models (VLAs) only inherit a single fixed speed from training demonstrations. Prior efforts to accelerate VLAs...

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Source

http://arxiv.org/abs/2606.06491v1