Pulkit Agrawal
Scholar

Pulkit Agrawal

Google Scholar ID: UpZmJI0AAAAJ
Massachusetts Institute of Technology
RoboticsComputer VisionArtificial IntelligenceReinforcement Learning
Citations & Impact
All-time
Citations
12,825
 
H-index
45
 
i10-index
80
 
Publications
20
 
Co-authors
46
list available
Resume (English only)
Academic Achievements
  • Recipient of the IIT Kanpur Young Alumnus Award; 2024 IEEE Early Academic Career Award in Robotics and Automation; Meenal Parakh wins the 2024 Charles and Jennifer Johnson MEng Thesis Award; Idan Shenfeld and Zhang-Wei Hong win the 2024 Qualcomm Innovation Fellowship; Srinath Mahankali wins the 2024 Jeremy Gerstle UROP Award and the 2024 Barry Goldwater Scholarship; Best Paper Award at Conference on Robot Learning (CoRL) 2021 for work on in-hand object re-orientation.
Research Experience
  • Co-founded SafelyYou Inc. that builds fall prevention technology. Advisor to Tutor Intelligence, Lab0 Inc., and Common Sense Machines.
Education
  • Ph.D. from UC Berkeley; undergraduate studies from IIT Kanpur.
Background
  • Associate Professor in the department of Electrical Engineering and Computer Science (EECS) at MIT. His lab is a part of the Computer Science and Artificial Intelligence Lab (CSAIL), affiliated with the Laboratory for Information and Decision Systems (LIDS) and involved with the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI).
Miscellany
  • Research interests include computational sensorimotor learning, encompassing perception, control, hardware design, robotics, reinforcement learning, and other learning approaches to control.