Hemlock: The missing force signal in robotic training data
We collect egocentric video data + force and contact dynamics derived from workers' muscular signals. Adding Hemlock's force data to human training demos improved pi0.5's success by 10x and Gemini Argon's by 2.7x on force-sensitive manipulation tasks.
新项目,适合观察早期产品方向。