Author

Ziheng He

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Preprint Aug 2026

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

This work presents GigaBrain-0.7, an embodied foundation model with substantially improved generalization across diverse robot embodiments, and introduces one-stage alignment training that jointly optimizes vision-language understanding and multi-embodiment action generation.

GigaBrain Team, An-Gen Ye, Axiang Sun et al. · 7 citations · ⚡1

Preprint Aug 2026

XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments?

XEWorld is introduced, a controlled cross-embodiment testbed for world models that isolates embodiments by evaluating held-out robots within physically identical scenes, highlighting that achieving true cross-embodiment generalization requires architectural innovations that decouple visual appearance from underlying ph...

Yixiang Chen, Jiabing Yang, Yuan Xu et al. · 0 citations