Researchers from UC Berkeley, NVIDIA, and UT Austin introduce DreamDojo, a framework that teaches robots physical skills by learning from large-scale human videos. Instead of expensive robot-specific data, DreamDojo distills 5 years of human video into a generalist world model that runs in real time. We break down how it works, why the team composition matters, and what it means for the future of robotics.
