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Mrinal Kalakrishnan graduated with a B.E. in Telecommunication from PESIT, Bangalore in 2004, and an M.S. in Computer Science from the University of Southern California in 2008. He is currently pursuing his doctoral degree at USC, advised by Prof. Stefan Schaal. His research focuses on the development of machine learning techniques to improve the performance of motion planners for autonomous robots in challenging domains such as rough terrain locomotion and autonomous grasping and manipulation. He is also interested in designing and learning controllers that use sensory and visual feedback loops to achieve compliant yet robust behavior.

Research Interests:

Machine Learning, Legged Locomotion, Motion Planning, Reinforcement Learning, Inverse Reinforcement Learning, Grasping and Manipulation, Force and Compliance Control


LittleDog, Phase III: Learning Force Control Policies for Compliant Manipulation:
Autonomous Robotic Manipulation (ARM) project, Phase II: Autonomous Robotic Manipulation (ARM) project, Phase I:
Willow Garage Internship, 2010: Willow Garage Internship, 2009:

Journal Publications

Conference Publications

Google Scholar

Pre-CLMC Publications


mail at mrinal dot net


Ronald Tutor Hall, RTH-417
3710 S. Mc.Clintock Ave
Los Angeles, CA 90089


(213) 821 6370


(213) 740 1510

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Page last modified on July 03, 2015, at 01:36 PM