Ajay U. Mandlekar

Picture of Ajay. 

Ajay Mandlekar
Ph.D. Candidate
Stanford Vision and Learning Lab
Department of Electrical Engineering
Stanford University

Advisors: Silvio Savarese and Fei-Fei Li


Email: amandlek@cs.stanford.edu
Twitter: @AjayMandlekar
Google Scholar: Ajay Mandlekar
Github: amandlek
CV: link

Recent News

  • [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.