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Ant Group is going big on robotics 🤖
They just dropped their first VLA and depth perception foundation model on huggingface.
✨ LingBot-VLA :
- Trained on 20k hours of real-world robot data
- 9 robot embodiments
- Clear no-saturation scaling laws
- Apache 2.0
Model: https://huggingface.co/collections/robbyant/lingbot-vla
Paper:
A Pragmatic VLA Foundation Model (2601.18692)
✨ LingBot-Depth:
- Metric-accurate 3D from noisy, incomplete depth
- Masked Depth Modeling (self-supervised)
- RGB–depth alignment, works with <5% sparse depth
- Apache 2.0
Model: https://huggingface.co/collections/robbyant/lingbot-depth
Paper:
Masked Depth Modeling for Spatial Perception (2601.17895)
They just dropped their first VLA and depth perception foundation model on huggingface.
✨ LingBot-VLA :
- Trained on 20k hours of real-world robot data
- 9 robot embodiments
- Clear no-saturation scaling laws
- Apache 2.0
Model: https://huggingface.co/collections/robbyant/lingbot-vla
Paper:
A Pragmatic VLA Foundation Model (2601.18692)
✨ LingBot-Depth:
- Metric-accurate 3D from noisy, incomplete depth
- Masked Depth Modeling (self-supervised)
- RGB–depth alignment, works with <5% sparse depth
- Apache 2.0
Model: https://huggingface.co/collections/robbyant/lingbot-depth
Paper:
Masked Depth Modeling for Spatial Perception (2601.17895)
