Stanford Seminar - Evaluating and Improving Steerability of Generalist Robot Policies
April 18, 2025Dhruv 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/robotics_seminar/
View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD
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