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About

Kaiyan Yu is a pioneering researcher at the intersection of autonomous robotics, control systems, and infrastructure automation. Her work spans three transformative domains: aggressive vehicle maneuver control, soft-solid contact mechanics, and robotic infrastructure maintenance. Yu’s most impactful contributions include developing novel control strategies for autonomous aggressive vehicle maneuvers (13 citations), which draw inspiration from professional racing drivers to create “accident-free” vehicle safety features. She has also advanced the understanding of soft-solid frictional interactions through an innovative model integrating LuGre dynamics with 2D contact mechanics (12 citations). In infrastructure automation, Yu has pioneered complete and near-optimal robotic crack coverage and filling systems (7 citations), addressing critical maintenance needs for roads and bridges. Her recent work on monocular visual-inertial sensing for unknown rotating objects (9 citations) has significant implications for space debris reconstruction. Yu’s research on safety-prioritized collaborative robots (6 citations) further demonstrates her commitment to human-robot interaction. With over 50 total citations across her publications, Yu continues to push boundaries in autonomous systems, from aggressive maneuvers to delicate infrastructure repair, establishing herself as a versatile innovator in modern robotics.