Norman Di Palo

Norman Di Palo, a robotics research scientist at Google DeepMind, and Georgios Papagiannis, a PhD candidate at Imperial College, dive into groundbreaking advancements in robotics. They discuss how everyday human videos can train robots, emphasizing in-context learning and the challenges of using wearable cameras. The pair explore video retrieval systems, highlighting keyframe extraction and the fusion of vision with language models to improve task execution. Their insights illuminate the ongoing innovations in imitation learning and the potential for real-time knowledge adaptation in robotics.