Model WarsJuly 9, 2026via MarkTechPost
Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manipulation
Why it matters
Ant Group's LingBot-VLA 2.0 represents a significant capability jump in open-source vision-language-action models, trained on 60K hours of real robot data across 20 configurations. For robotics companies, this shifts the economics: a performant 6B model under Apache 2.0 means less dependency on closed APIs and faster iteration cycles.
Key signals
- 6B parameter model, Apache-2.0 licensed
- Trained on 60,000 hours of data: 50,000 hours robot trajectories + 10,000 hours egocentric human video
- Covers 20 robot configurations (arms, dexterous hands, waists, heads, mobile bases)
- 55-dimensional canonical action space for cross-embodiment generalization
- Outperforms π0.5 and LingBot-VLA-1.0 on GM-100 generalist benchmark
- Uses Mixture-of-Experts action expert (token-level, no load-balancing loss)
- Dual-query distillation from LingBot-Depth and DINO-Video for geometric and temporal supervision
- Released by Ant Group's Robbyant
The hook
Ant Group's 6B open-source robot model outperforms closed alternatives on cross-embodiment manipulation. Here's why VLAs just became commoditized.
Ant Group's Robbyant has released LingBot-VLA 2.0, an Apache-2.0 vision-language-action model for cross-embodiment robot manipulation. The 6B checkpoint is pretrained on roughly 60,000 hours of data, spanning 50,000 hours of robot trajectories across 20 robot configurations and 10,000 hours of egocentric human video. It maps every embodiment into a single 55-dimensional canonical action space, covering arms, dexterous hands, waists, heads, and mobile bases. A token-level, auxiliary-loss-free Mixture-of-Experts action expert scales capacity without adding a load-balancing loss. Dual-query distillation from LingBot-Depth and DINO-Video adds geometric and temporal supervision for future-aware control. On the GM-100 generalist benchmark it outperforms π0.5 and LingBot-VLA-1.0 on both evaluated platforms.
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