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About

Lan Qin is a robotics and sensing researcher whose work spans two interconnected domains: electrostatic adhesion technology for wall-climbing robots and precision calibration methods for industrial robots. His early contributions in 2014 established rigorous theoretical foundations for electrostatic adhesion, developing analytical models for both dielectric and conductive wall materials that have collectively drawn nearly 45 citations and significantly advanced the field's understanding of adhesion forces. Building on this theoretical work, Qin contributed to the practical realization of a crawler-type wall-climbing robot in 2016, demonstrating strong adaptability across diverse wall surfaces with minimal power consumption. His research portfolio also reflects a sustained interest in precision sensing, including multi-beam synchronous measurement using position-sensitive detectors (PSDs) and tactile sensor development. More recently, Qin has focused on field calibration of industrial robots, proposing innovative single-PSD-based methods and optimal configuration selection strategies that address real-world deployment challenges — work that has already attracted 15 citations within a year of publication. With a cumulative citation record highlighting consistent relevance across a decade of research, Qin's contributions offer valuable tools for both the robotics engineering community and academic researchers advancing autonomous and precision robotic systems.