Part 6/10:
Dr. Fan brought forth critical insights regarding robotics and AI, specifically discussing the limitations in current data availability for training robotic models. He likened human-annotated data on the internet to fossil fuels — a finite resource that cannot regenerate. This analogy suggests that to move forward, novel avenues, such as simulated training environments for robotics, must be developed.
He presented Nvidia's Isaac Gym as a solution that educates robots in a simulated environment, mimicking real-world physics but enabling rapid learning and problem-solving. By running models in these simulations, robots acquire skills that can be effectively transferred to actual hardware.