Stanford Seminar - Evaluating and Improving Steerability of Generalist Robot Policies скачать в хорошем качестве

Stanford Seminar - Evaluating and Improving Steerability of Generalist Robot Policies

April 18, 2025 Dhruv Shah, Google Deepmind/Princeton General-purpose robot policies hold immense promise, yet they often struggle to generalize to novel scenarios, particularly struggling with grounding language in the physical world. In this talk, I will first propose a systematic taxonomy of robot generalization, providing a framework for understanding and evaluating current state-of-the-art generalist policies. This taxonomy highlights key limitations and areas for improvement. I will then discuss a simple idea for improving the steerability of these policies by improving language grounding in robotic manipulation and navigation. Finally, I will present our recent effort in applying these principles to scaling up generalist policy learning for dexterous manipulation. About the speaker: https://robodhruv.github.io/ More about the course can be found here: https://stanfordasl.github.io/robotic... View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist:    • Stanford AA289/ENGR319 - Robotics and Auto...   ► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore View our Robotics and Autonomous Systems Graduate Certificate: https://online.stanford.edu/programs/...