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About

Weinan Gao is a robotics and control systems researcher whose work spans autonomous aerial vehicles, legged robotics, and advanced control theory. He is perhaps best known for his pioneering contributions to the control of micro-quadrotor UAVs, where his development of adaptive integral backstepping control methods addressed the fundamental challenges of stabilizing these agile platforms despite their inherently nonlinear dynamics and model uncertainties — work that has accumulated over 70 citations and remains a cornerstone reference in the field. His early 2011 publications established him as a formative voice in quadrotor control during a period of rapid growth in UAV research. More recently, Gao has extended his expertise into legged robotics, developing data-driven adaptive optimal output regulation strategies for wheel-legged systems like the robot Ollie. This work tackles real-world challenges such as motor variability and unmodeled loads, reflecting a broader interest in making robotic systems resilient to dynamic uncertainty. His newest research explores miniature quadruped navigation using zero-velocity update methods, demonstrating a continued commitment to pushing the boundaries of robot autonomy. Across his career, Gao's work is unified by a drive to make complex robotic platforms reliable, adaptive, and practically deployable in demanding environments.