Ant Lingbo Open-Sources LingBot-VLA2.0 for 20 Robot Types
新智元 · wechat · 2026-07-08
Ant Group's embodied intelligence subsidiary Ant Lingbo has open-sourced the embodied manipulation foundation model LingBot-VLA 2.0, directly tackling the cross-embodiment generalization challenge of "one brain for many machines." Version 2.0's pre-training covers over 20 robot configurations across 17 mainstream domestic and international brands (including Unitree, AgiBot, Leju, Stardust, etc.), expanding real-world data from 20,000 hours in 1.0 to 50,000 hours.
The team highlighted the current robotics issue of "overheated bodies, missing brains": achievements like backflips and marathons are mostly localized optimizations in closed environments, requiring costly re-adaptation from scratch for each new embodiment. The LingBot-VLA series is positioned as an "industry-universal brain." Version 1.0 achieved a pre-training throughput of 261 samples/second per card using 8-card FSDP parallelism, accelerating 1.5-2.8 times faster than mainstream VLA codebases and drastically reducing post-training costs.
Related event: Ant Lingbo Open-Sources LingBot-VLA 2.0 for Multi-Robot Generalization(18 posts)→
More from Embodied
- WanGP v18.81 adds Tencent's Hy-Nomas world model, playable on 8GB VRAM — cocktailpeanut · 2026-10-27
- NVIDIA open-sources FLORA, a robotics data engine ~125x cheaper than GPT-6 Astra — nvidia · 2026-10-27
- Embodied AI startups need a different operational discipline, investor says — ___Mufasaa · 2026-10-27
- π0.5 study: raising demos from 10 to 438 lifts Place Ball in Bowl success from 7% to 83% — stingning · 2026-10-27
- GPT-6 Astra controls dexterous hands zero-shot at just 5.2% success in 500 trials — stingning · 2026-10-27
- HandsOn benchmark: 66 verified tasks and 18,000 human demos for dexterous manipulation — stingning · 2026-10-27