LingBot-VLA 2.0 Architecture and Testing
Scobleizer · x · 2026-07-08
This post shares technical details about LingBot-VLA 2.0: it utilizes a sparse MoE design, achieving higher training efficiency and lower training loss and error under the same active parameter budget.
For bimanual tabletop tasks and long-horizon mobile tasks, the post claims it outperforms LingBot 1.0, Pi 0.5, and GR00T N1.7 in both success rate and task progress.
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