Galbot's PASSAGE teaches humanoids to duck, step over and squeeze through clutter
On a Unitree G1, Galbot's planner–tracker stack finished 50 unseen physical layouts without falls; 45 were contact-free. Destination success in sim was 98.67% — contact-free 70.3%.
In short: Galbot highlighted PASSAGE on Oct 13, 2026 — a perception-conditioned planner–tracker that lets a humanoid choose how to cross clutter: step over, duck under or turn sideways. Trained on 100 hours of scene-aligned human motion across 1,500 scenes, it runs fully onboard a Unitree G1 with Jetson AGX Orin and lidar, no prebuilt map.
The numbers that matter
In 750 simulated trials on held-out scenes, destination reach was 98.67%; requiring no obstacle contact dropped that to 70.3%. On 50 unseen physical layouts, the team reports all 50 finished without falls or safety stops, and 45 without contact. That is a limited research eval — not a product claim for Galbot's own ET1.
Why it matters
Feet-clear paths still crash shoulders into doorways. PASSAGE's single whole-body control pair composes behaviors without one policy per obstacle type — useful for homes and factories built for people, while the contact gap shows how hard clutter still is.
Sources Sources verified
- 1.Humanoids Daily: Galbot PASSAGE obstacle traversal (Oct 13, 2026)humanoidsdaily.com
- 2.Interesting Engineering: Humanoid learns to duck and step over (Oct 14, 2026)interestingengineering.com
- 3.PASSAGE project page (Galbot et al.)galaxygeneralrobotics.github.io
- 4.arXiv: PASSAGE — Scaling Scene-Aligned Motion Learning (2026)arxiv.org
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