2025 IEEE RAS Early Academic Career Award in Robotics and Automation
Changliu Liu Carnegie Mellon University United States of America For significant advancements in intelligent robot control and learning that enables safe and efficient human-robot collaborations. Changliu Liu is an Assistant Professor in the Robotics Institute, School of Computer Science, Carnegie Mellon University (CMU), where she leads the Intelligent Control Lab. Before joining CMU in January 2019, she was a postdoc at Stanford Intelligent Systems Laboratory. She received her Ph.D. in Engineering and Master's degrees in Engineering and Mathematics from the University of California, Berkeley, and her Bachelor's degrees in Engineering and Economics from Tsinghua University. Her research focuses on the design and verification of human-centered intelligent systems for manufacturing and transportation, involving various robot embodiments like robot arms, mobile robots, legged robots, and humanoid robots. Dr. Liu co-founded Instinct Robotics, a company specializing in intelligent manufacturing. She is a senior member of IEEE and published the book Designing Robot Behavior in Human-Robot Interactions in 2019. She co-founded the International Neural Network Verification Competition in 2020. Dr. Liu's work has earned her numerous awards, including the NSF Career Award, Amazon Research Award, Ford URP Award, Advanced Robotics for Manufacturing Champion Award, and Young Investigator Award at the International Symposium of Flexible Automation. Her research has been featured in IEEE Spectrum, ATI News, and Robotiq Blog. She served as Associate Editor of Mechatronics (2023-2024) and is currently Associate Editor of the ASME Journal of Dynamic Systems, Measurement, and Control.
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