A 12B-parameter VLM learns to synthesize executable Behavior Tree policies from multimodal inputs via synthetic neuro-symbolic supervision, achieving zero-shot real-world transfer on robotic manipulators.
Behavior trees in robotics and ai: An introduction
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Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic Supervision
A 12B-parameter VLM learns to synthesize executable Behavior Tree policies from multimodal inputs via synthetic neuro-symbolic supervision, achieving zero-shot real-world transfer on robotic manipulators.