LingBot-VA 2.0 Embodied Model Released
JaynitMakwana · x · 2026-07-10
LingBot-VA 2.0 features a joint video-action modeling approach that predicts the next state while simultaneously planning actions, which the authors argue is more natural than traditional reactive robotic models.
Described as the first embodied-native foundation model rather than a fine-tuned video generation model, it reportedly achieves a 93.6% success rate on bimanual tasks, 150Hz inference on a single GPU, and generalization from 20 demos.
Related event: Ant Lingbo Open-Sources LingBot-VLA 2.0 for Multi-Robot Generalization(18 posts)→
More from Embodied
- Nothing phone mockup turns a film joke into a modular design meme — ZeYanjie · 2026-07-22
- Lightwheel AI Launches SimReadyGen: Text-to-Physics-Accurate Robot Sim Assets — ZeYanjie · 2026-07-22
- Humanoid robot sorting packages in a warehouse sparks debate over job loss — MonaJalal_ · 2026-07-22
- NVIDIA pushes OpenUSD as the common layer for simulation and physical AI — MonaJalal_ · 2026-07-22
- A quadruped robot gets a custom glow-up with a new shell and screen — DynamicWebPaige · 2026-07-22
- A VR teleop demo for an SO-101 arm gets absurdly low latency by using one Python script — MoonL88537 · 2026-07-22