Sashank Tirumala

I am a first year robotics graduate student at Carnegie Mellon University, where I work on fundamental problems on Robot Manipulation (generally from a learning perspective). I completed my undergrad in IIT Madras in Engineering Design.

Previously I have interned at Indian Institute of Sciences, Bangalore, where I worked on Imitation Learning, Reinforcement Learning and , Quadrupedal Locomotion under the guidance of Shishir Kolathaya and Bharadwaj Amrutur. I've received the Srikanth Sundarajan Award, Ms Latha & Sampath Srinath Prize , Mercedes Benz Drive Challenge Winner, Continental Fiction2Science Challenge Winner and the FIITJEE Scholarship Award.

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I'm interested in realizing human-like dynamic motion for robots. Much of my research is about using machine learning, optimization and control algorithms to enable robots to reliably interact with the physical world.

Developed simple linear policies with reinforcement learning to realize rough terrain locomotion on quadruped robots.

Developed a novel neural architecture that provided higher accuracy and required lesser data in order to demonstrate Complex Manoeuvres in quadruped robots.

Provides techniques to bridge the sim-to-real gap and quickly learn locomotive policies for quadruped robots.

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