Dr. Jim Fan
Senior Research Manager & Lead of GEAR Lab, NVIDIA | Embodied AI Pioneer
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Jim Fan. Every entry undergoes editorial source verification.
Voyager: An Open-Ended Embodied Agent with Large Language Models
The first LLM-powered embodied lifelong learning agent in Minecraft, co-led by Jim Fan at NVIDIA. Voyager continuously explores environments, acquires complex skills into an iterative skill library, and solves novel problems with zero human intervention.
Evaluated within structured simulated environments (Minecraft); physical world robotics embodiment introduces real-time latency and sensory noise constraints.
Voyager: An Open-Ended Embodied Agent with Large Language Models
Lifelong learning autonomous agent architecture featuring an automated curriculum, self-expanding skill library of executable code, and iterative prompting mechanism with environment feedback.
Dependent on real-time vision-language reasoning latency; physical embodiment requires sim-to-real transfer validation.