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Frozen GEAR-SONIC whole-body controller (Unitree G1) transfers to AgiBot X2 Ultra via closed-form codec + LoRA adapters (0.25% params, 2% compute), beating native training on OOD (69.0% vs 59.0%).
Figure AI releases Helix 02, extending single-network control from upper body to whole robot. System 0 trained on 1000+ hours of human motion data replaces 100K lines of hand-engineered C++, enabling 4-minute continuous autonomous loco-manipulation.
Boston Dynamics shares how Atlas learns whole-body lifting via RL: from reference trajectories and reward design to GPU-scale simulation and real-hardware iteration, demonstrating fundamental building blocks of physical intelligence.
