Research Papers · May 29, 2026 One Policy, Any Body: How COMPASS Is Making Robot Navigation Truly Portable NVIDIA's COMPASS uses residual reinforcement learning and policy distillation to deploy a single navigation policy across wheeled and legged platforms — with zero-shot sim-to-real transfer on the Unitree G1 humanoid. #cross-embodiment #navigation #sim-to-real
Research Papers · May 21, 2026 One Brain, Many Bodies: How HEX Is Breaking the Embodiment Barrier in Humanoid Robotics HEX is a 2.4B-parameter open-source VLA model pretrained on 12 million frames from seven different humanoid robots — and it controls all of them with a single policy. #vla #cross-embodiment #unitree-g1
Research Papers · Jan 15, 2026 Humanoid Locomotion in 2025: What the Research Says A survey of the most significant papers on bipedal locomotion from 2025 — reinforcement learning, model predictive control, and sim-to-real transfer. #locomotion #reinforcement-learning #sim-to-real
