Wenfu Yu

Huazhong University of Science and Technology

Papers

Total Citations

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About

Wenfu Yu is a leading researcher in intelligent robotic manufacturing, with a primary focus on mobile robotic grinding systems for large-scale industrial workpieces. His work addresses critical challenges in precision machining, particularly the integration of mobile robotics with advanced sensing and control technologies. Yu’s most cited paper (2022, 60 citations) introduces a groundbreaking mobile robotic grinding system equipped with a laser sensor, fringe projection scanner, and force-controlled grinding tool, enabling accurate calibration and machining of large components in expansive workspaces. This innovation significantly enhances automation in heavy industries such as aerospace and shipbuilding. In another highly influential study (2022, 27 citations), Yu developed a vibration signal-based monitoring method using Long Short-Term Memory (LSTM) networks to estimate grinding force and material removal, addressing trajectory deviations that compromise machining quality. His contributions bridge robotics, sensor fusion, and deep learning, offering practical solutions for real-time process control. With a growing citation impact, Yu’s work is pivotal for advancing autonomous, high-precision manufacturing systems, making him a key figure in modern industrial robotics research.