Jim Fan
AI research scientist working on generalist agents and robotics
Sources checkedLinxi (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
HumanoidMimicGen: 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.