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About

Ranjay Krishna is a prominent AI researcher whose work spans foundation models, computer vision, and human-robot interaction, with a particular focus on making robots more capable and accessible in real-world environments. He gained widespread recognition as a co-author of the landmark 2021 report "On the Opportunities and Risks of Foundation Models," which introduced the term "foundation models" to describe large-scale, adaptable AI systems like GPT-3 and DALL-E — a paper that has since accumulated over 2,177 citations and fundamentally shaped how the research community thinks about modern AI development. More recently, Krishna's research has shifted toward bridging vision-language models with practical robotics, producing a rich portfolio of work including Manipulate-Anything, RoboPoint, AHA, and EVE — systems designed to help robots understand their environments, detect failures, predict spatial affordances, and even be trained by everyday users through augmented reality. His 2024 paper THE COLOSSEUM further advances robotic generalization benchmarking. Collectively, these contributions reflect a unifying vision: democratizing robotics by reducing the expertise and resources required to train and deploy intelligent robotic systems. Krishna's research is both technically rigorous and deeply human-centered, positioning him as a leading voice at the intersection of AI, robotics, and accessibility.