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PhD Speaking Qualifier


Murtaza Dalal PhD Student Robotics Institute,
Carnegie Mellon University
Monday, May 1
3:00 pm to 4:00 pm
GHC 6121
Inductive Biases for Learning Long-Horizon Manipulation Skills

Enabling robots to execute temporally extended sequences of behaviors is a challenging problem for learned systems, due to the difficulty of learning both high-level task information and low-level control. In this talk, I will discuss three approaches that we have developed to address this problem. Each of these approaches centers on an inductive bias (action primitives, task and motion planning supervision, contact-free motion priors) that enables direct learning of long-horizon behaviors.

Ruslan Salakhutdinov
Deepak Pathak
Deva Ramanan
Shikhar Bahl