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Engineer explains how Vision Language Actions work as natural extensions of sequence modeling to enable robots to understand and execute complex tasks.

r/robotics · 2026年4月13日

Engineer explains how Vision Language Actions work as natural extensions of sequence modeling to enable robots to understand and execute complex tasks.

AI要約

  • VLMs are being repurposed into control policies that can enhance existing robots with open models like openVLA and gr00t
  • Action tokenization versus continuous control represents a fundamental architectural choice in VLA development
  • The real bottlenecks in VLA development are data collection and embodiment challenges, not just model scaling
  • VLAs function as sequence models similar to GPT but extended to control robotic outputs like torque and acceleration

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