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About

Ai-Guo Wu is a robotics and autonomous systems researcher whose work spans space robotics, robotic manipulation, and intelligent control. His most influential contributions lie at the intersection of computer vision and space technology, where he has pioneered methods for measuring the pose and motion of non-cooperative space targets — a critical challenge in on-orbit servicing missions such as satellite repair and debris removal. His 2018 paper on fusing laser radar with stereo-vision for space target pose estimation has garnered 88 citations, while his 2019 work introducing virtual stereovision for dual-arm space robots attracted 76 citations, together establishing him as a key voice in autonomous spacecraft proximity operations. Wu has further advanced the field through research on dual-arm robotic coordination, dynamic coupling modeling, and efficient parameter estimation for capturing tumbling targets, addressing the complex mechanical and control challenges inherent in space manipulation. Beyond space applications, his work extends to robotic manipulator control, including adaptive iterative learning algorithms and sliding mode techniques for high-precision trajectory tracking. His early research on power transmission line inspection robots demonstrates a career-long commitment to applying intelligent robotics to demanding real-world environments. Wu's body of work makes him a significant contributor to next-generation autonomous robotic systems.