Ajay U. Mandlekar
 |
Ajay Mandlekar |
Contact
Email: amandlek@stanford.edu
Twitter: @AjayMandlekar
Google Scholar: Ajay Mandlekar
Github: amandlek
CV: link
Recent News
[March 2021] Two papers accepted at ICRA 2021! Check out our work on Multi-Arm RoboTurk and Deep Affordance Foresight.
[March 2021] New preprint on enabling spatial generalization in visuomotor control from human demonstrations using a structured hand-eye action space.
[December 2020] We recently extended RoboTurk to enable human-in-the-loop teleoperation and developed Intervention Weighted Regression, a simple and effective algorithm to learn from such interventions.
[September 2020] We released robosuite v1.0, a modular simulation framework and benchmark for robot learning.
[July 2020] We are organizing the Advances and Challenges in Imitation Learning for Robotics workshop at RSS 2020.
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 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