Lumo-2 Enhances Embodied Reasoning Generalization
rohanpaul_ai · x · 2026-07-18
This post further details Lumo-2's capabilities and design: it significantly outperforms Lumo-1 on various embodied reasoning tasks while remaining competitive with vision-language benchmark models.
The author emphasizes that robotic training might improve the model's understanding of spatial relationships and physical scenes. Another key point is the decoupled representation of "what the action is" and "which robot is performing it," making it easier to transfer the same skills across different robot embodiments, and even from human videos to robots.
Related event: Astribot launches Lumo-2 with real-robot demos(10 posts)→
More from Embodied
- LIBERO-MAX: Robot Policies Drop 11–26 Points When the World Changes Mid-Task — drmapavone · 2026-10-27
- Agility's Digit robot to expand into two more GXO US warehouses from early 2027 — jonstephens85 · 2026-10-27
- Real2Sem2Real turns one phone video into 2,000+ robot demos, matching 150 teleop demos — Scobleizer · 2026-10-27
- Wayve CEO argues end-to-end deep learning should power driving, safety and world models — alexgkendall · 2026-10-27
- Mundo turns a few room photos into an explorable, simulatable 3D world — at 1.5 FPS — mark_k · 2026-10-27
- Zurich Physical AI Hackathon puts attendees in a room with $1.5M of humanoids — ___Mufasaa · 2026-10-27