Waterloo Robot Learning Reading Group - Egocentric Data (Week 6)

​​Meetup to discuss state-of-the-art research on robot learning (humanoids, foundation models, RL, sim2real, etc.), similar to the Toronto ML/Systems Reading Group and Vector Institute's Machine Learning Lunches- list of topics & articles below - all are welcome! 🎉

​Pizza sponsored by Palatial!

​Previous week: https://luma.com/ympgqji6

​Topic - Data Collection Methods

• ​6:00pm - Liu, et al., 2025, EgoZero: Robot Learning from Smart Glasses by Steven Gong and Krish Mehta

​Additional Reading List:

​Questions we should answer as we read these papers:

• ​What are the authors trying to do? Articulate their objectives.

• ​How was it done prior to their work, and what were the limits of current practice?

• ​What is new in their approach, and why do they think it will be successful?

• ​What are the mid-term and final “exams” to check for success? (i.e., How is the method evaluated?)

• ​What are limitations that the author mentions (any that they omit)?