Abhinav Gupta

Abhinav Gupta is a Professor at Carnegie Mellon University's Robotics Institute, specializing in Computer Vision, Machine Learning, and Robotics. His research focuses on scene understanding, human-centric vision, and language-vision interactions. He leads projects like NEIL and has developed tactile skins like ReSkin. His work emphasizes self-supervised learning, robot manipulation, and visual learning.

Education & Positions: PhD from CMU, postdoc at CMU, former affiliations with UMD and UPenn. Current roles include teaching courses like Visual Learning and Recognition.

Research Interests: 3D scene representation, affordances, visual-language links, and robotics applications. His lab explores topics like tactile sensing, robot exploration, and generalizable manipulation through projects such as Track2act and Gen2act.

Awards & Recognition: Includes the JK Aggarwal Prize (2020), ONR Young Investigator Award (2018), and Okawa Grant. His work on NEIL earned CNN's Top 10 Ideas of 2013.

Students & Collaborations: Advised over 20 PhD/Master's students and postdocs. Notable former advisees include David Fouhey, Xiaolong Wang, and Lerrel Pinto. Collaborations with institutions like Meta AI and UIUC.

Key Projects: NEIL (Never Ending Image Learner), Curious Robot, and ReSkin tactile skins. His research bridges theory and practice, with applications in robotics, computer vision, and AI systems.