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About

Shaoming He is a robotics and autonomous systems researcher whose work spans aerial robotics, trajectory optimization, sliding mode control, and multi-robot systems. He is perhaps best known for his 2019 paper on bearing-only trajectory optimization for target localization, which garnered 99 citations and introduced a practical performance metric for maximizing observability in aerial robot missions — a significant contribution to autonomous sensing and estimation theory. His earlier work on chattering-free adaptive terminal sliding mode control (2015, 28 citations) demonstrated expertise in robust control for robotic manipulators, offering a continuous control solution that elegantly combines linear and terminal sliding mode methods to achieve fast, singularity-free convergence. More recently, He has expanded into multi-robot intelligence and maritime autonomy, exploring spatiotemporal relationship cognition for air combat robots and developing heterogeneous aerial systems capable of operating in GPS-denied marine environments — challenging frontier problems of growing strategic importance. His evolving research portfolio reflects a consistent drive toward deploying autonomous robots in complex, real-world conditions where conventional methods fall short, making his work highly relevant to both academic roboticists and engineers tackling next-generation autonomous system challenges.