Regular biography
Guanya Shi is an Assistant Professor in the Mechanical Engineering department at Carnegie Mellon University. He completed his Ph.D. in 2022 from Caltech, advised by Soon-Jo Chung and Yisong Yue. He received a B.E. from Tsinghua University in 2017. Prior to joining CMU, Shi was a postdoctoral scholar at the University of Washington. His research interests include the intersection of machine learning and control theory, with a focus on real-world agile robotics. His website provides further details on his work.
Scholar-generated biography
Guanya Shi is an Assistant Professor at CMU RI and Amazon Scholar specializing in Robotics, Robot Learning, Reinforcement Learning, Control, and Humanoid robotics. Their research focuses on developing advanced control systems for humanoid robots, including whole-body teleoperation, agile locomotion, and collision-free navigation. Shi's work integrates learning-based methods with physics-based models to enhance robotic autonomy and adaptability. Key contributions include neural controllers for humanoid robots, simulation-to-real transfer techniques, and multi-robot coordination through learned interactions. Their research addresses challenges in real-time control, safe exploration, and interaction-preserving data generation for complex robotic tasks.