Learning Safe Humanoid Navigation from Reduced Order Models (paper · 15 minute read)
A single-stage RL navigation pipeline struggles on multi-story terrain, so the authors split the problem: a policy on reduced order dynamics with full 3D LiDAR observations learns multi-story navigation, then kickstarts a full-order policy with a frozen locomotion policy in the loop. A Poisson safety filter recovers safety around out-of-distribution obstacles. On a Unitree G1, RoM-Nav performs mapless multi-floor navigation over 10m of vertical displacement and over 100m of path length.