VQV Signal
According to a post on X by @andrew_n_carr, Cartwheel Control is a hardware-agnostic way to train whole-body motor control policies from large-scale kinematic motion data. The first release is three free motion-tracking policies on Hugging Face, made for the Unitree G1, Menlo Research's Azimov and RoboParty's RP1. The post is mainly a video, and the Hugging Face pages were not checked, so these release details are not confirmed here.
According to a post on X by @andrew_n_carr, Cartwheel Control is a hardware-agnostic way to train whole-body motor control policies from large-scale kinematic motion data. The first release is three free motion-tracking policies on Hugging Face, made for the Unitree G1, Menlo Research's Azimov and RoboParty's RP1. The post is mainly a video, and the Hugging Face pages were not checked, so these release details are not confirmed here.
AI-assisted summary based on the listed source.
@andrew_n_carr announced Cartwheel Control, a hardware-agnostic way to train whole-body motor control policies from large-scale kinematic motion data. The first release is three free motion-tracking policies on Hugging Face for the Unitree G1, Menlo Research's Azimov and RoboParty's RP1; the Hugging Face pages...
Robotics builders working with these humanoid platforms may be able to test one shared approach to motion training across different hardware. The post points to shared control policies as the key idea, but the available text is cut off before the full argument. Next, watch whether the Hugging Face pages confirm the three policies and whether outside users report results on these robots.
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
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