Presentation
Pathway to Generalist Robot Autonomy — A Data-Centric Approach
DescriptionIn an era of rapid AI progress, leveraging accelerated computing and big data has unlocked new possibilities to develop general-purpose AI models. As AI systems like OpenAI's ChatGPT showcase excellent performance in the digital realm, we are compelled to ask: How can such success be translated into the physical world to create generalist robots capable of everyday tasks? In this talk, I will present our data-centric research principles and approaches toward building general-purpose robot autonomy in the open world. Specifically, I will discuss our recent works using large-scale computing and GPU-accelerated physics simulation to generate high-quality training data for robotic foundation models. By combining these advances with cutting-edge developments in humanoid robotics, we are laying the foundation for the next generation of autonomous robots.