Yixing Zhang

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About

Yixing Zhang is a leading researcher at the intersection of robotics, control theory, and intelligent construction, with a primary focus on advancing automation in the built environment. His most cited work, a comprehensive 2023 review on control theory and condition monitoring for construction robots (63 citations), has become a foundational reference for scholars and engineers seeking to understand how robotic technologies can enhance productivity, safety, and precision on construction sites. Zhang’s contributions lie in systematically mapping the integration of adaptive control algorithms with real-time condition monitoring systems, enabling construction robots to operate more autonomously and reliably in complex, unstructured environments. His research not only surveys the state of the art but also identifies critical gaps, such as the need for robust sensor fusion and fault-tolerant control, guiding future innovations. With a growing citation impact, Zhang’s work is shaping the next generation of intelligent construction machinery, bridging the gap between theoretical control methods and practical deployment. His efforts are pivotal in transforming traditional construction into a data-driven, automated industry, making him a key voice in the robotics-for-construction community.