Dr. Linxi (Jim) Fan
Senior Research Scientist & Lead of GEAR Lab, NVIDIA | Physical AI Pioneer
Linxi (Jim) Fan is an AI researcher at NVIDIA. His official research profile describes work on generalist agents for robotics, games, and software automation. He earned his PhD at Stanford, advised by Fei-Fei Li. His listed publications include work on humanoid robot learning and synthetic data generation, including coauthorship of HumanoidMimicGen in 2026.
Areas of focus
Professional niches
Proof of Work
Voyager: An Open-Ended Embodied Agent with Large Language Models
Groundbreaking research introducing Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores world dynamics, acquires skills, and makes novel discoveries without human intervention.
Evaluated within Minecraft simulation environment; real-world robotic embodiment introduces hardware physical latencies and physical sensor noise.
Context: GPT-4 prompting, iterative prompting mechanism, and skill library retrieval.
View missionHumanoidMimicGen: data generation for humanoid robot learning
NVIDIA lists this work on generating loco-manipulation data using whole-body planning. Its author list credits Kevin Lin, Ajay Mandlekar, Caelan Garrett, Nikita Cherniadev, Yu Fang, Runyu Ding, Yuqi Xie, Justin Tran, Linxi (Jim) Fan, and Yuke Zhu. The official record identifies an ICRA 2026 synthetic-data workshop publication.
The directory checked the publication record and coauthorship. It has not reproduced the method, assessed robot safety, or established production deployment. This artifact represents collaborative research, not a sole-author result.