Penghui Dai

Guangxi University of Science and Technology

Papers

Total Citations

H-Index

About

Penghui Dai is a robotics researcher specializing in automated systems for maritime and industrial applications, with a focus on magnetic climbing robots and advanced control algorithms. His work addresses critical challenges in ship maintenance and inspection, where hazardous manual labor on ship shell plates is being replaced by intelligent automation. Dai’s most-cited paper, "Design and Motion Analysis of a Magnetic Climbing Robot Applied to Ship Shell Plate" (2022, 13 citations), introduces a novel climbing robot that leverages magnetic adhesion to navigate curved steel surfaces, enabling safer and more efficient ship hull operations. This contribution has garnered attention for its practical impact on reducing human risk and operational downtime. Expanding on this foundation, Dai’s 2024 study, "Trajectory Tracking Control of Mobile Manipulator Based on Improved Sliding Mode Control Algorithm" (6 citations), tackles persistent issues in automated welding—namely, control jitter and slow response—by proposing a refined sliding mode strategy that enhances precision and speed. His research bridges mechanical design and real-time control, offering scalable solutions for industrial automation. With a growing citation record, Penghui Dai is emerging as a key innovator in robotic systems for harsh environments, driving progress in both theoretical control methods and applied robotics.