Wenjin Lu

Xi’an Jiaotong-Liverpool University, Fuzhou University

Papers

Total Citations

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About

Wenjin Lu is a researcher whose work bridges computational image analysis and robotics control, with a focus on automated systems and adaptive algorithms. In a key early contribution, Lu developed a method for phenotype recognition in high-content screening, using curvelet transforms and random subspace ensembles to automate the analysis of fluorescence microscopy images from large-scale RNA interference experiments. This work, cited 5 times, addressed the critical bottleneck of processing thousands of images from robotic microscopes, enabling more efficient biological discovery. More recently, Lu has advanced the field of mobile robotics by tackling the fixed-time tracking control problem for nonholonomic wheeled mobile robots under external disturbances. In a 2023 paper, Lu designed a fixed-time kinematic controller using linear transformation and fixed-time theory, ensuring robust and predictable performance even in challenging environments. This work, with 1 citation, demonstrates Lu’s versatility in applying mathematical control theory to real-world robotic systems. Together, these contributions highlight Lu’s impact in both biomedical image analysis and autonomous robotics, offering tools that enhance automation, precision, and reliability in scientific and engineering applications.