Learning from Animal and Human Videos - Robotics Institute Carnegie Mellon University
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MSR Thesis Defense

April

4
Fri
Ryan Aponte MSR Student Robotics Institute,
Carnegie Mellon University
Friday, April 4
8:30 am to 9:30 am
Newell-Simon Hall 3305
Learning from Animal and Human Videos

Abstract:

Animals and humans can learn from the billions of years of life on Earth and the evoluNon that has

shaped it. If robots can borrow from that wealth of experience, they too could be enabled to learn from

the experience, instead of learning through brute force trial-and-error. Learning from internet-scale

videos, such as the RGB videos on YouTube, would serve as an especially promising method; humans

view the world through the visible light spectrum. Robots using a similar band would interface through

the world, a world designed by and shaped for humans, and could be especially valuable by interfacing

through common visual language.

Committee:

Abhinav Gupta (chair)

Shubham Tulsiani

Homanga Bharadhwaj