Abhinav Gupta: Difference between revisions

This may take 5 weeks or more, since drafts are reviewed in no specific order. There are 2,028 pending submissions waiting for review. If the submission is accepted, then this page will be moved into the article space. If the submission is declined, then the reason will be posted here. In the meantime, you can continue to improve this submission by editing normally. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags.

Computer scientist

Abhinav Gupta is a Professor in the Robotics Institute at Carnegie Mellon University, where he conducts research in computer vision, machine learning, and robotics. His research focuses on developing scalable learning methods, including self‑supervised and lifelong learning systems for visual and robotic understanding.^[1][2][3]

Education

Gupta earned a Bachelor’s degree in Computer Science and Engineering from the Indian Institute of Technology, Kanpur and a PhD in Computer Science from the University of Maryland. Prior to joining Carnegie Mellon University, he was a postdoctoral researcher working with faculty in the CMU Robotics Institute.^[4][5]

Career

Gupta joined the Robotics Institute at Carnegie Mellon University as faculty in 2011, after serving as a postdoctoral researcher.^[6]His work addresses fundamental problems in scene representation, reasoning, and learning from visual and sensory data, with an emphasis on self‑supervised methods that reduce reliance on labeled data.^[7][8]

His research contributions include scalable methods for learning general-purpose visual representations, learning from human videos for robotics applications, and approaches that allow robots to acquire skills through experience-driven and multimodal learning.^[9][10]

Gupta was one of the first to demonstrate that robots can learn visual representations directly from interaction, without human-labeled data, at scale.^[11]His research group worked on The Never Ending Image Learner (NEIL) model of computing.^[12]

He led some of the earliest efforts to collect large, real-world robotic manipulation datasets, not simulation-only benchmarks. ^[13]

Gupta was appointed as the director of the AI Lab opened by Facebook in Pittsburgh in 2018.^[14]As a senior leader at Meta AI Robotics, he operationalized these ideas in production-scale research systems.^[15]

He co-founded Skild AI with Deepak Pathak at Carnegie Mellon University.^[16]

Awards and honors

Gupta has received numerous academic awards, including the Sloan Research Fellowship and the J.K. Aggarwal Prize for self‑supervised learning from the International Association for Pattern Recognition, the Office of Naval Research Young Investigator Award.^[17][18]

References