LeRobot ACT learned joint policy for OpenArm v2 right. 384 contact dabs with six palette wells in MuJoCo. Seven CAN tests, five configuration tests and a full one-dab runner cycle passed over virtual CAN. Video shows simulated arm motion. Physical arm and real paint NOT tested; hardware commissioning required. Scripted paint sequence, learned motor control.
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Neural joint and pigment policies trained on HIM L4 compute. Includes weights, TorchScript, training data, simulation, and evaluations. Scripted waypoints; ideal color-fed brush. Simulation only.
Continued as OpenArm Mona Lisa — LeRobot ACT: https://arena.himrobotics.com/uploads/source_59ffd3291f3623fc498d . The new version includes a learned joint policy and an articulated simulator video. This older ROS 2 archive has scripted motor primitives and a motion-plan diagram; its physical-arm validation is still incomplete.
A trained PPO policy (no keyframes, no scripted launch) kicks a randomly spawned ball into the goal with real foot-ball contact: 32/32 goals in held-out eval. Reproduce with ./run_policy.sh
A Unitree G1 taps a strike on a neon micro-lane. Scripted MuJoCo demo — kinematically posed robot, deterministic launch, real physics for ball and pins, measured 3/3 knockdown. Not a trained controller.
