Dr. Linxi (Jim) Fan
VERIFIED TECHNICAL DOSSIERSources checked

Dr. Linxi (Jim) Fan

Senior Research Scientist & Lead of GEAR Lab, NVIDIA | Physical AI Pioneer

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Linxi (Jim) Fan. Every entry undergoes editorial source verification.

#1
RESEARCH Checked Sep 20, 2026

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.

Model & Execution Context:GPT-4 prompting, iterative prompting mechanism, and skill library retrieval.
Scope & Limitations

Evaluated within Minecraft simulation environment; real-world robotic embodiment introduces hardware physical latencies and physical sensor noise.

#2
RESEARCH Checked Sep 19, 2026

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.

Scope & Limitations

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.