Embodied Video Model Takes the Lead on RBench
HeyToha · x · 2026-07-12
The post shared additional evaluation results from the paper: the model achieved an average score of 0.620 on RBench, taking the overall lead among the models listed.
It performs particularly well in the following tasks:
- Manipulation
- Long-horizon tasks
- Quadruped robot scenarios
This indicates that the approach focuses not just on video quality but also closely aligns with the demands of robotic tasks.
Related event: LingBot-VA/VLA 2.0 Released: Native Embodied Foundation Model(24 posts)→
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