Pan Liu

I'm a Research Scientist at Intel Labs. My primary research areas are deep learning and humanoid robots. I lead efforts in developing atheletic and cognitive intelligence for both real robots and virtual characters. To achieve this, I train large multimodal models that understand the world through language, vision and physics. These models are capable of performing complex tasks in simulated environments, with the ultimate goal of transferring these learned skills to real-world robots.

Prior to this, I received my PhD from Penn State, where I was advised by Prof. Bo Cheng. My dissertation work was at the intersection of robot learning and agile locomotion. During my graduate studies, I was fortunate to intern at Intel Labs and MathWorks.

I’ve had the privilege of collaborating with some of the most talented researchers and engineers, including Vladlen Koltun, German Ros, and Alan Fern, and I am always grateful for that experience.

Projects

Recent projects in LLM, multimodal model and robotics.

Multimodal model for motion generateion

Train and delploy billion-parameter level language-motion multimodal models that generate realistic 3D human motions from text.

Publications

(* equal contribution)