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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