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About

Juan An is a robotics and intelligent systems researcher whose work spans industrial robot kinematics, mobile robot navigation, and medical robotics applications. His research has made meaningful contributions to the practical implementation of robotic systems across diverse domains, earning over 27 citations across his most recognized publications. An's foundational work explores trajectory planning and kinematic analysis of industrial robots, notably using the IRB-1200 platform within MATLAB and RobotStudio simulation environments to validate forward and inverse kinematics solutions. Complementing this, his investigations into Simultaneous Localization and Mapping (SLAM) — including probabilistic motion models — have advanced mobile robot localization and autonomous navigation capabilities, reflecting his commitment to bridging theoretical frameworks with real-world deployment. Perhaps his most clinically significant contribution is his 2024 study introducing a 3D structured light registration method for stereotactic neurosurgery, offering a marker-free facial scanning approach to improve precision in robot-assisted neuronavigation — a development with direct implications for patient safety and surgical outcomes. His work on deep learning-driven machine vision for high-speed robotic sorting systems further demonstrates his versatility across industrial automation. Collectively, An's research positions him as a multidisciplinary contributor at the intersection of robotics, artificial intelligence, and medical technology.