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About

Joon Kyue Seo is a robotics researcher whose work sits at the intersection of human-robot interaction, sensor technology, and robotic manipulation. His research spans three interconnected domains: admittance control for collaborative robots, force/torque sensor calibration, and anthropomorphic robotic hand design. Seo's most influential contribution, "Variable Admittance Control of Robot Manipulators Based on Human Intention" (2019), has garnered 124 citations and introduced a novel framework for interpreting both direct and indirect human intentions during physical human-robot interaction — a critical advancement for safe and intuitive collaborative robotics. Complementing this, his pioneering application of deep learning to multi-axial force/torque sensor calibration, developed across multiple publications between 2017 and 2018, addressed longstanding challenges of nonlinearity and cross-axis coupling in robotic sensing, earning 58 citations on its primary publication and establishing him as an early adopter of machine learning techniques in sensor engineering. Beyond sensing and control, Seo has contributed to anthropomorphic hand design by introducing the "Interactivity of Fingers" performance index, enabling systematic kinematic optimization through genetic algorithms. With a growing citation record and contributions spanning hardware, sensing, and intelligent control, Seo represents a well-rounded voice in modern robotics research.