Jean Baptiste Guyon

Papers

Total Citations

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About

Jean Baptiste Guyon is a researcher specializing in robotics, kinematics, and mechanical systems, with a particular focus on the geometric and kinematic modeling of robotic manipulators. His work centers on identifying and characterizing geometric defects in robotic joints, a critical area for improving precision and reliability in industrial automation. Guyon’s most-cited paper, "Geometrical defect identification of a SCARA robot from a vector modeling of kinematic joints invariants" (2021), introduces a novel vector-based approach to detect and quantify joint irregularities in SCARA robots, a widely used configuration in assembly and pick-and-place tasks. This contribution has garnered 12 citations, reflecting its relevance to researchers and engineers working on robot calibration and error compensation. By leveraging kinematic invariants, Guyon’s methodology offers a systematic framework for diagnosing performance-limiting defects without complex instrumentation, advancing the field of robot metrology. His work is particularly notable for bridging theoretical kinematics with practical industrial applications, making it valuable for students and practitioners seeking to enhance robotic accuracy. Guyon’s research continues to influence the development of more robust and precise robotic systems, underscoring his role in advancing the intersection of geometry, mechanics, and automation.