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Research questionHow can flow-based vision-language-action policies generate reliable robot actions with few sampling steps for real-time control?Flow-based policies often begin action generation from uninformative noise, requiring multiple inference steps before producing structured actions. That sampling cost can make otherwise capable policies too slow for real-time robotic control.
AI
Inference Optimization
Multimodal Models
Robotics
Latest papersRecent research connected to this question, newest first.CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action PoliciesThe source studies flow-based vision-language-action policies for robotic control, with evidence from CALVIN, LIBERO, and real-robot experiments. Reported results focus on low-number-of-function-evaluation regimes, action-sampling latency, and task success; no broader deployment conditions are established.research paper · Sep 4, 2026
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