Two Clocks for Touch: How T-Rex Gives Dexterous VLAs a Reflex Arc
Introduces a full-stack co-designed tactile-reactive policy with asynchronous mixture-of-transformers (slow visuomotor planning + fast 4× tactile corrections), trained on the largest open 50-hour / 5,500-episode synchronized robot tactile play dataset collected on 22-DoF hands; bridges egocentric video pretraining to contact-rich manipulation via EgoScale mid-training.
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Introduces a full-stack co-designed tactile-reactive policy with asynchronous mixture-of-transformers (slow visuomotor planning + fast 4× tactile corrections), trained on the largest open 50-hour / 5,500-episode synchronized robot tactile play dataset collected on 22-DoF hands; bridges egocentric video pretraining to contact-rich manipulation via EgoScale mid-training.
In this episode of Embodied AI 101, we explore "Two Clocks for Touch: How T-Rex Gives Dexterous VLAs a Reflex Arc". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence.
Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.
