Guanya Shi
Guanya Shi is an Assistant Professor in the Robotics Institute at Carnegie Mellon University, where he leads the Learning and Control for Agile Robotics (LeCAR) Lab. He is also an Amazon Scholar on the Frontier AI & Robotics (FAR) team. His research focuses on the intersection of machine learning and control theory, with an emphasis on developing reliable learning and control algorithms for agile robotic systems such as humanoids and drones.
“ENPIRE framework provides the necessary abstraction: 'reset the scene, execute a policy, verify the outcome, and refine the next iteration' (Abstract). This transforms real-world robot learning into a 'controllable optimization procedure' (Abstract)”
Source→“Guanya Shi: CMU LeCAR Lab. Notable for his work in learning-based control and robotics. Co-advisor on the paper.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.