TL;DR for operators A humanoid robot can closely reproduce a demonstrated movement yet fail to complete the intended manipulation. In a simulated comparison across nine objects, Weave’s jointly trained controller achieves 95.3% pooled interaction success, versus 91.5% for nine object-specific specialists under equal aggregate training iterations—even though the specialists often track reference movements more accurately. ...
TL;DR for operators A robotics team can teach a many-fingered hand to use scissors or a screwdriver without first collecting a large robot-specific teleoperation dataset. The critical step is not simply copying human joint positions, but preserving how the hand surrounds, supports, and moves the object. Regrind converts one three-dimensional human hand-object demonstration into a feasible robot reference, then uses that reference to guide reinforcement learning near promising parts of the task rather than forcing it to discover the behavior from random states. ...