A real Unitree G1 navigated rooms and carried boxes on language commands. It never saw a single real-world demonstration. The model that generated its navigation training data learned from G1 motions in BONES-SEED. BONES data in Research #03 Researchers affiliated with Amazon FAR (@AmazonScience), @UCBerkeley, @Stanford and @CarnegieMellon developed VLK, accepted at CoRL 2026. Instead of collecting expensive teleoperation data, they generated it: a navigation model trained on G1 motions from BONES-SEED synthesized new trajectories in reconstructed 3D scenes (the object-interaction model was trained on OMOMO sequences retargeted to G1). The team paired the generated movements with rendered camera views and language instructions to train the policy. Then came the real robot: a Unitree G1 navigating to targets, picking up boxes and carrying them, without real-world fine-tuning Congratulations to @wangyenjen, @jiaman01, @eric_srchen, @TakaraTruong, Pei Xu, @pabbeel, @rocky_duan, @KoushilSreenath, @akanazawa, @carlo_sferrazza, @GuanyaShi and C. Karen Liu! Paper: arxiv.org/abs/2606.30645 BONES Research Network gives researchers access to open human motion data: research.bones.studio #BonesResearchNetwork #BonesSeed #HumanoidRobotics #PhysicalAI