Ajay U. Mandlekar
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Ajay Mandlekar |
Contact
Email: amandlek@stanford.edu
Recent News
[July 2020] We are organizing the Advances and Challenges in Imitation Learning for Robotics workshop at RSS 2020.
[July 2020] Our new algorithm, Generalization Through Imitation (GTI), will appear at RSS 2020. It enables learning visuomotor control from human demonstrations and generalizing to new long-horizon tasks by leveraging latent compositional structures. See our paper, website, and video for more details.
[May 2020] Our paper on offline learning from large-scale robot manipulation datasets appeared at ICRA 2020. We demonstrated that our algorithm can learn from our crowdsourced RoboTurk dataset without requiring additional interaction. See our paper, website, and talk for more details!
About Me
I am a PhD candidate in the Stanford Vision and Learning Lab advised by Silvio Savarese and Fei-Fei Li. I work on applying Reinforcement Learning and Imitation Learning to Robotics. In particular, I'm interested in building systems and algorithms to allow robots to leverage human insight for manipulation.
Education
Ph.D. (in progress), Electrical Engineering, Stanford University, September 2016 - Present
M.S., Computer Science, Stanford University, June 2018
B.S., Electrical Engineering, California Institute of Technology, June 2016
B.S., Computer Science, California Institute of Technology, June 2016
Monta Vista High School, Class of 2012