2026 Pulkit Agrawal: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	30	13835	13413	5497	5226	83	8881

Overview

Pulkit Agrawal is a researcher affiliated with MIT in the United States. Their primary fields of study are Computer Science and Engineering, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, and Aerospace Engineering.

The researcher's main topics of work revolve around robotics and machine learning disciplines. These include Robot Manipulation and Learning, Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Robotics and Sensor-Based Localization, Multimodal Machine Learning Applications, Human Pose and Action Recognition, and Robotic Path Planning Algorithms.

Among their recent publications are:

"Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation," 2022, 2022 International Conference on Robotics and Automation (ICRA)
"Stubborn: A Strong Baseline for Indoor Object Navigation," 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
"Is Conditional Generative Modeling all you need for Decision-Making?," 2022, arXiv (Cornell University)
"3D Neural Scene Representations for Visuomotor Control," 2021, arXiv (Cornell University)
"AdaScale SGD: A User-Friendly Algorithm for Distributed Training," 2020, arXiv (Cornell University)

Frequently publishing venues include:

arXiv (Cornell University)
2022 International Conference on Robotics and Automation (ICRA)
2021 IEEE International Conference on Big Data (Big Data)
bioRxiv (Cold Spring Harbor Laboratory)
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Collaborations with other researchers have been a significant part of Pulkit Agrawal's work. Frequent coauthors include Zhang-Wei Hong, Anthony Simeonov, Abhishek Gupta, Anurag Ajay, and Gabriel B. Margolis.

Best Publications

Curiosity-driven Exploration by Self-supervised Prediction

Deepak Pathak;Pulkit Agrawal;Alexei A. Efros;Trevor Darrell

1959
Citations
Fully Automated Echocardiogram Interpretation in Clinical Practice

Jeffrey Zhang;Sravani Gajjala;Pulkit Agrawal;Geoffrey H. Tison

1015
Citations
Human Pose Estimation with Iterative Error Feedback

Joao Carreira;Pulkit Agrawal;Katerina Fragkiadaki;Jitendra Malik

876
Citations
Learning to See by Moving

Pulkit Agrawal;Joao Carreira;Jitendra Malik

579
Citations
Analyzing the Performance of Multilayer Neural Networks for Object Recognition

Pulkit Agrawal;Ross B. Girshick;Jitendra Malik

543
Citations
What makes ImageNet good for transfer learning

Minyoung Huh;Pulkit Agrawal;Alexei A. Efros

517
Citations
Learning to poke by poking: experiential learning of intuitive physics

Pulkit Agrawal;Ashvin Nair;Pieter Abbeel;Jitendra Malik

463
Citations
Combining self-supervised learning and imitation for vision-based rope manipulation

Ashvin Nair;Dian Chen;Pulkit Agrawal;Phillip Isola

266
Citations
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Unknown

263
Citations
Zero-Shot Visual Imitation

Deepak Pathak;Parsa Mahmoudieh;Guanghao Luo;Pulkit Agrawal

243
Citations
Learning Visual Predictive Models of Physics for Playing Billiards

Katerina Fragkiadaki;Pulkit Agrawal;Sergey Levine;Jitendra Malik

230
Citations
Zero-Shot Visual Imitation

Deepak Pathak;Parsa Mahmoudieh;Guanghao Luo;Pulkit Agrawal

180
Citations
Investigating Human Priors for Playing Video Games

Rachit Dubey;Pulkit Agrawal;Deepak Pathak;Thomas L. Griffiths

143
Citations
Is Conditional Generative Modeling all you need for Decision-Making?

Unknown

134
Citations
Pixels to Voxels: Modeling Visual Representation in the Human Brain

Pulkit Agrawal;Dustin Stansbury;Jitendra Malik;Jack L. Gallant

113
Citations
Generic 3D Representation via Pose Estimation and Matching

Amir Roshan Zamir;Tilman Wekel;Pulkit Agrawal;Colin Wei

102
Citations
What will Happen Next? Forecasting Player Moves in Sports Videos

Panna Felsen;Pulkit Agrawal;Jitendra Malik

89
Citations
Superposition of many models into one

Brian Cheung;Alexander Terekhov;Yubei Chen;Pulkit Agrawal

87
Citations
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning

Richard Li;Allan Jabri;Trevor Darrell;Pulkit Agrawal

86
Citations
Learning to Perform Physics Experiments via Deep Reinforcement Learning.

Misha Denil;Pulkit Agrawal;Tejas D. Kulkarni;Tom Erez

74
Citations
An End-to-End Differentiable Framework for Contact-Aware Robot Design

Jie Xu;Tao Chen;Lara Zlokapa;Michael Foshey

6
Citations
Investigating Human Priors for Playing Video Games.

Rachit Dubey;Pulkit Agrawal;Deepak Pathak;Alyosha A. Efros

2
Citations

Frequent Co-Authors

Jitendra Malik University of California, Berkeley

Sergey Levine University of California, Berkeley

Trevor Darrell University of California, Berkeley

Alexei A. Efros University of California, Berkeley

Joao Carreira Google (United States)

Thomas L. Griffiths Princeton University

Pieter Abbeel University of California, Berkeley

Alexandre M. Bayen University of California, Berkeley

Phillip Isola MIT

Alison Gopnik University of California, Berkeley

External Links

Personal website of Pulkit Agrawal

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science isn’t limited to traditional classroom settings. Many students begin or enhance their tech careers by enrolling in an associate's degree online. These flexible programs cover core topics and can help you gain foundational knowledge before pursuing a bachelor’s or entering the workforce.

Cost is a common concern for learners everywhere. Fortunately, there are plenty of cheap online colleges that allow you to earn your computer science credential without overwhelming debt. Affordable tuition makes it easier to invest in your future—and many schools provide scholarships or payment plans.

Didn’t have a perfect high school or college record? It’s still possible to get a quality CS education. Consider universities for low gpa, which offer online programs designed to help motivated students excel academically and professionally, regardless of past grades.

Interested in broader impact? Computer science skills pair well with interdisciplinary fields. For instance, grads often ask, what can you do with an environmental science degree? Careers range from data analysis to sustainable tech solutions, highlighting the diverse opportunities available when you combine disciplines.