Guocheng Liu

Huazhong University of Science and Technology, Weifang University

Papers

Total Citations

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About

Guocheng Liu is a researcher whose work bridges advanced manufacturing and intelligent robotics. His primary research areas include laser ultrasonic nondestructive evaluation, additive manufacturing quality control, and multi-sensor data fusion for autonomous systems. Liu’s most impactful contribution is his 2021 study on laser ultrasonic inspection of defects in wire arc additive manufactured samples, which has garnered 46 citations. This work addresses a critical challenge in additive manufacturing—detecting subsurface flaws in components with complex surface profiles—by developing a non-contact, high-resolution inspection method that enhances process reliability. Earlier, Liu contributed to mobile robotics with his 2007 paper on multi-sensor moving target tracking using particle filters, introducing the Cross-Sensor and Cross-Modality (CSCM) data fusion algorithm to manage sensor uncertainty. His most recent work, a 2025 optimization algorithm for nonsingular robot kinematics based on potential energy functions, demonstrates ongoing innovation in robotic motion planning. Liu’s research has practical implications for industries requiring precise defect detection and robust autonomous navigation, making him a notable figure in the integration of sensing, manufacturing, and robotics.