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Data-Driven AI for Robotics (DAIR) at NVIDIA Research

NVIDIA's DAIR group investigates how robots can learn directly from human data including videos, motion capture, and demonstrations to acquire generalizable skills across tasks, embodiments, and environments. The group works at the intersection of generalist models and embodied AI.

learningperceptionai-learning

Notable achievements

GEM (Generalist Model for Human Motion), Kimodo (Scaling Controllable Human Motion Generation)

Notable work

GEM: A Generalist Model for Human MotionKimodo: Scaling Controllable Human Motion Generation