Ant Group's embodied AI unit said its open-source LingBot robot foundation models have been downloaded more than 2.2 million times and gathered over 33,000 GitHub stars in the nine months since their first release, Leiphone reported from the 2026 World Internet Conference Wuzhen Summit, which runs November 2 to 5. The company presented a full-stack 2.0 model lineup spanning the LingBot-Vision and LingBot-Depth 2.0 perception models, the LingBot-Video and LingBot-World 2.0 world models, and the LingBot-VLA 2.0 and LingBot-VA 2.0 action models, aiming to reuse one model across different robot bodies, tasks and settings. According to the company, LingBot work has been cited by Physical Intelligence and Generalist AI; Stanford's OpenWAM project reused and adapted the LingBot-VA module, a Korean research project called FastOPD used LingBot-VLA as a teacher model, and EPFL used LingBot-Map for 3D reconstruction of coral reefs. LingBot-VLA and LingBot-VA have been adapted to Hugging Face's LeRobot platform, LingBot-Vision has been merged into the main branch of the timm vision backbone library, LingBot-World is supported by vLLM and SGLang, and NVIDIA has integrated LingBot-World into its open-source FlashDreams library. The first LingBot embodied model challenge