Guanya Shi

Guanya Shi is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, affiliated with the Robotics Institute. He leads the Learning and Control for Agile Robotics (LeCAR) lab, focusing on the intersection of learning and control in robotics. His research spans theoretical foundations, algorithm design, and real-world applications in agile robotics, including aerial robotics, ground vehicles, legged locomotion, multi-agent systems, and safety-critical systems.

Education: B.E. from Tsinghua University (2017), Ph.D. from Caltech (2022). Before joining CMU, he was a postdoctoral scholar at the University of Washington. His work emphasizes bridging simulation and real-world physics, safety in autonomous systems, and adaptive control strategies for dynamic environments.

Research interests include model-based and reinforcement learning approaches for robotic control, with applications in humanoid locomotion, aerial manipulation, and safe exploration. He has contributed to frameworks such as FALCON, RAMBO, and ASAP, advancing the capabilities of agile robotic systems.

Labs/Teams: Directs the LeCAR lab, which explores cutting-edge robotics through interdisciplinary collaboration. His publications reflect a focus on theoretical rigor and practical implementation, addressing challenges in control, adaptation, and safety across diverse robotic platforms.