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About

Peixing Li is a robotics researcher whose work sits at the intersection of magnetic adhesion systems, wall-climbing robotics, and mechanical design — areas with significant implications for industrial automation and intelligent manufacturing. Li's most impactful contributions center on advancing the capabilities of wall-climbing robots for demanding real-world applications, including petrochemical tank maintenance, shipbuilding, and large-scale steel structure inspection. Li's most cited work (14 citations) introduced a novel magnetic circuit design method using Halbach array principles to achieve safe, reliable robot adsorption on vertical surfaces — a longstanding engineering challenge. Subsequent research expanded this foundation, with notable contributions including an adaptive magnetic adhesion mechanism enabling robots to navigate internal corners (11 citations), and a biomimetic inchworm-inspired robot design capable of welding, grinding, and inspection tasks on complex steel structures. Li has also advanced theoretical frameworks for hybrid robotic systems, developing a decoupled elastostatic stiffness modeling approach grounded in screw theory and Castigliano's theorem (6 citations). Collectively, Li's body of work reflects a rigorous combination of theoretical innovation and experimental validation, addressing payload limitations, surface adaptability, and adhesion reliability — challenges that directly shape the future of robotized industrial maintenance.