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About

Yi Wen Perng is a robotics researcher whose work centers on surgical assistance, human-robot interaction, and precision control for automated systems. His most-cited paper (23 citations, 2020) introduces an adaptive skew force free model-based synchronous control and tool center point calibration for a hybrid 6-DoF gantry-robot machine, achieving high stiffness and precision in automated manufacturing. Earlier, Perng developed a "surgeon's third hand"—an assistive robotic endoscopic system for laparoscopic surgery (10 citations, 2014), designed to provide intuitive maneuverability and reduce the need for highly trained assistants. His contributions to safe human-robot collaboration include gravity compensation and compliance-based force control (5 citations, 2011) and adaptive impedance control for safe robot manipulators (5 citations, 2011), both aimed at enabling robots to operate safely alongside humans with constant velocity and robust stability. Perng’s work bridges industrial precision and medical robotics, with a clear focus on making robotic systems more intuitive, safer, and easier to control. His research is particularly relevant for students and engineers interested in surgical robotics, human-robot interaction, and advanced control strategies for hybrid robotic systems.