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I want to find new methods in vision and control that enable the future of autonomous robots — specifically one that gives us more security, ability,…
At CMU, I'm leveraging the inherent geometric and physical nature of our world to inform these intelligent systems.
My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.
My interests lie at the intersection of deep learning, computer vision and 3D geometry.
From 2014 to 2017, I worked at Google and X, on a series of robotics projects, including the Everyday Robot project, whose goal is to make a robot wh…
I aspire to build robots that can naturally reason about the world around them, and quickly learn new behaviors and manipulation skills.
This is my personal website.
If you want to chat, shoot me an email at anair17berkeley.edu.
Interaction data for physical systems are expensive to collect sequentially acquired experience rather than offline accumulated data.