Shen Yujun
Yujun Shen (Damon) is the Chief Scientist at Robbyant (Ant Lingbo) and leads the Interactive Intelligence Lab at Ant Research, focusing on generative models, spatial intelligence, and embodied intelligence. He holds a PhD in Information Engineering from the Chinese University of Hong Kong and has prior research experience at ByteDance, Google, and Facebook Reality Labs. He is best known for his work on the LingBot series of embodied intelligence models, including LingBot-VLA and LingBot-World, which aim to build robot-native foundation models for the physical world.
“Released 6 open-source models in their second generation: Limbo Viren (geometric vision pre-training), Limbo Depth (spatial perception), VLA 2.0 (cross-embodiment action model), Video (MoE-native video generation), Word (causal pre-training), and VA 2.0 (the integrated robot-native foundation model).”
Source→“In 26 this year, or rather this half-year, we made what I think is a fairly big decision: since we can't push the digital-world teams to change, we'll redo everything from scratch based on the physical world's needs.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.