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About

Changkook Seo is a leading researcher in the field of robotic manipulation and mobile robotics, with a particular focus on industrial automation and specialized locomotion systems. His work spans force-controlled grinding robots, façade-cleaning robots, and screw-based crawling mechanisms. Seo’s major contributions include the development of an impedance-based force control method for grinding robots with floating bases, using Model Prediction Optimization Control to enhance precision and stability in large-area applications. His most cited paper (2023, 27 citations) details this system, addressing critical demands in industrial robotics. Additionally, Seo has advanced screw wheel-based robots, introducing robust design principles—such as the Taguchi method—to improve speed and reliability on granular surfaces (2021, 6 citations). His work on vertical error control for gondola-mounted façade-cleaning robots (2023, 7 citations) and the SPIRA robot for switching primitives (2023, 7 citations) further demonstrates his versatility in solving real-world automation challenges. With a growing citation impact, Seo’s research is pivotal for students and engineers seeking innovative solutions in robotic force control, locomotion, and adaptive systems for complex environments.