Jean Oh

Jean Oh is a Researcher at the Robotics Institute of Carnegie Mellon University (CMU), leading the interdisciplinary Bot Intelligence Group (BIG). Her work focuses on developing persistent robots that co-exist and collaborate with humans in shared environments, emphasizing continuous improvement through training, exploration, and human interaction.

• Education:
  • Ph.D. in Language and Information Technologies, CMU
  • M.S. in Computer Science, Columbia University
  • B.S. in Biotechnology, Yonsei University

Oh's research integrates vision, language, and planning systems in robotics, with applications in human-robot teaming, self-driving cars, disaster response, eldercare, and creative robotics. She has pioneered projects like socially-compliant robot navigation in human crowds and AI-driven robotic painting systems.

Recent publication trends highlight her work in vision-language planning, social navigation, computational creativity, and human-robot collaboration. Notable contributions include the StyleCLIPDraw algorithm for text-to-art generation and Social-PatteRNN for human-like trajectory prediction.

Scientific Awards:

• Best Paper Award in Cognitive Robotics (ICRA'18, ICRA'15)
• Best Systems Paper Finalist (HRI'25)
• Best Oral Paper Finalist (Humanoids'24)
• Best Paper in Entertainment (IROS'24)
• Argoverse Challenge Winner (CVPR'24)
• Best Student Paper (AIAA'24)
• Best Demo Finalist (RoboSoft'24)

Oh mentors a diverse team of PhD, MS, and undergraduate students from CMU departments including Robotics, Computer Science, and Mechanical Engineering. Her research is funded by US Army Research Lab, DiDi Chuxing, and DARPA, with collaborations across industry and academia.