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Jean Hyaejin Oh is an Associate Research Professor at the Robotics Institute of Carnegie Mellon University, specializing in artificial intelligence, robotics, and autonomy. Her research interests focus on language understanding, multimodal perception, path planning, and machine learning. She aims to create robots that can co-exist with humans in shared environments, enhancing their ability to learn and improve continuously through training, exploration, and interactions. Currently, her research revolves around translating information from vision to language, allowing robots to perceive information by fusing verbal inputs from humans, describe observations in natural language, generate semantic plans for complex directions, learn to navigate in a socially compliant manner, and explain their past, current, and future actions. Oh leads several perception and learning tasks within the DARPA Aircrew-Labor In-Cockpit Automation System (ALIAS) program, collaborating on intelligence architecture for accurate language understanding. Her team received the Cognitive Robotics Paper Award at the IEEE International Conference on Robotics and Automation in 2015 for their insights into robot language understanding. She is also involved in projects with the Department of Defense and the Ministry of Trade, Industry and Energy of Korea focused on disaster response robotics technologies, particularly in semantic map construction using text data crowdsourcing.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.