Ajay U. Mandlekar
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Ajay Mandlekar |
Contact
Email: amandlek@cs.stanford.edu
Twitter: @AjayMandlekar
Google Scholar: Ajay Mandlekar
Github: amandlek
CV: link
Recent News
[April 2022] We are hosting a workshop at RSS 2022 called Overlooked Aspects of Imitation Learning: Systems, Data, Tasks, and Beyond.
[November 2021] Our large-scale study for learning from offline human demonstrations was presented as an oral (6.5% acceptance) at CoRL 2021! See the talk here.
[August 2021] We released robomimic, a framework for robot learning from demonstration. It offers a broad set of demonstration datasets collected on robot manipulation domains, and learning algorithms to learn from these datasets.
About Me
I am a PhD candidate in the Stanford Vision and Learning Lab, jointly advised by Silvio Savarese and Fei-Fei Li. My work focuses on developing systems and algorithms to allow robots to leverage human insight for manipulation tasks.
Education
Ph.D., Electrical Engineering, Stanford University, September 2016 - January 2022
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