• Ph.D The University of Texas at Austin, 2016
  • M.S. The University of Texas at Austin, 2013
  • B.S. Harbin Institute of Technology, 2011



Dr. Ye Zhao started as an Assistant Professor at George Woodruff School of Mechanical Engineering in January 2019. Previously he was a Postdoctoral Fellow at Harvard University, where he worked on robust trajectory optimization algorithms for manipulation and locomotion problems with frictional contact behaviors. His research interests lie broadly in planning, control, and decision-making algorithms of highly agile, contact-rich, and human-cooperative robots. Dr. Zhao's previous research experience include robust motion planning and optimization of rough terrain locomotion and dynamic manipulation, reactive task planning of whole-body locomotion interacting with uncertain and unstructured environments, distributed impedance control, whole-body operational space control of compliant and prioritized multi-task humanoid robots. He is especially interested in computationally efficient algorithms for challenging robotics problems, where performance such as robustness, autonomy, efficiency, and safety are formally guaranteed. His long-term goal is to build autonomous robots (or cyber-physical systems in general) and generalize fundamental theories and computational algorithms for intelligent and collaborative humanoid robots, mobile robots, and human assistive devices, operating in cluttered environments and working alongside humans in their daily lives.


Research Focus

Automation and Mechatronics: robotics (legged locomotion and manipulation), robust control, real-time and reactive motion planning, applied optimization algorithm, autonomy, and formal method based decision-making.