RoboHub🤖(@XRoboHub):This ETH Zurich team is pushing humanoid climbing to a new level. Its Unitree G1 uses one policy for walking, climbing and crawling. The transitions between those movements aren’t manually scripted. The team trained ACP using 13.2 minutes of human motion data to learn contact patterns, then used reinforcement learning in simulation to adapt to new terrain. At runtime, onboard sensing and a goal guide where its hands, feet and knees go, without a reference motion to follow. The team says even the recovery sequence in the ladder demo wasn’t explicitly included in the human demonstrations.

2026.10.24 05:15

This ETH Zurich team is pushing humanoid climbing to a new level. Its Unitree G1 uses one policy for walking, climbing and crawling. The transitions between those movements aren’t manually scripted. The team trained ACP using 13.2 minutes of human motion data to learn contact patterns, then used reinforcement learning in simulation to adapt to new terrain. At runtime, onboard sensing and a goal guide where its hands, feet and knees go, without a reference motion to follow. The team says even the recovery sequence in the ladder demo wasn’t explicitly included in the human demonstrations.

显示更多