Max Robotics — Global Service Robot Directory + US Certification

About

Yao Mu is an emerging researcher at the forefront of embodied AI and robotic intelligence, with a focus on foundation models, robotic manipulation, and autonomous planning. His work bridges the gap between large language and vision-language models and real-world robotic systems, producing tools and frameworks that meaningfully advance how machines perceive, reason, and act. Mu's most recognized contribution, EmbodiedGPT (2023, 41 citations), introduced an end-to-end multimodal foundation model that leverages embodied chain-of-thought reasoning to enable robots to plan and execute complex, long-horizon tasks. This work established him as a key voice in grounding language models within physical environments. His research extends into diffusion-based planning through AdaptDiffuser and SwarmDiff, generative 3D semantic understanding via G3Flow, and scalable code generation for robotic manipulation with RoboScript and RoboCodeX. His recent RoboTwin benchmark (2025, 16 citations) addresses critical data scarcity challenges in dual-arm robotic coordination using generative digital twins. Collectively accumulating over 90 citations across a focused body of work, Mu's research is shaping the next generation of generalizable, instruction-following robotic systems — making him a compelling figure to watch in the rapidly evolving landscape of embodied intelligence.