EgoZero: Robot Learning from Smart Glasses
Vincent Liu, Ademi Adeniji, Haotian Zhan, Raunaq Bhirangi, Pieter Abbeel, Lerrel Pinto
2025-05-27
Summary
This paper talks about EgoZero, a new way for robots to learn how to do tasks by watching videos from smart glasses worn by people, instead of needing to practice the tasks themselves.
What's the problem?
The problem is that teaching robots to do new things usually requires a lot of robot-specific training data, which takes time, money, and effort. It's hard to collect enough examples of robots doing every possible task, especially in real-world situations.
What's the solution?
The authors developed EgoZero, which lets robots learn from videos of humans doing tasks in everyday settings, captured by smart glasses. The robots don't need any training data of their own; they can watch and then immediately try new tasks, even ones they've never practiced before.
Why it matters?
This is important because it makes it much easier and faster for robots to learn a wide variety of tasks, which could help them become more useful in homes, hospitals, and workplaces without needing tons of expensive robot training.
Abstract
EgoZero learns robust manipulation policies for robots using in-the-wild human demonstrations and zero robot data, enabling zero-shot transfer across diverse tasks.