Changliu Liu

Changliu Liu is an Assistant Professor in the Robotics Institute at Carnegie Mellon University. She leads the Intelligent Control Lab and previously served as a postdoc at the Stanford Intelligent Systems Laboratory. Liu obtained her Ph.D. in Mechanical Engineering from the University of California at Berkeley in 2017. Her research interests include robotics and human-robot interactions, control and motion planning, optimization and optimal control, multi-agent systems, and game theory. She is affiliated with the Manufacturing Futures Institute.

Changliu Liu is an associate professor at Carnegie Mellon University, specializing in robotics, human-robot interactions, motion planning, optimization, and multi-agent systems. His research focuses on advancing autonomous systems through algorithmic innovations in safety, efficiency, and human-robot collaboration. Liu's work includes developing methods for verifying deep neural networks, enabling agile and safe humanoid locomotion, and improving real-time optimization for motion planning. He has also contributed to the field of autonomous driving by addressing safety in social interactions and designing defensive strategies for urban environments. His research emphasizes the integration of simulation and real-world physics for learning complex robotic skills, as well as safe reinforcement learning under input constraints.