Chen Guan

Papers

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About

Chen Guan is a robotics researcher specializing in trajectory optimization and haptic teleoperation, with a focus on enhancing precision and efficiency in complex industrial environments. His work centers on two key areas: time-optimal path planning for robotic excavators and haptic feedback systems for remote manipulation. In his 2015 study, Guan pioneered a NURBS-based trajectory planning method for robotic excavators, using quintic NURBS curves to interpolate joint positions, achieving smoother motion and improved operational efficiency—a foundational contribution cited 4 times. More recently, Guan has advanced haptic teleoperation, evaluating feedback accuracy with custom haptic devices and interfaces in 2022 (3 citations), and developing an isomorphic teleoperation system for nuclear spent fuel post-processing in 2023 (2 citations). His research directly addresses critical challenges in hazardous environments, where precise force feedback is essential for safe remote handling. Guan’s work bridges theoretical optimization and practical robotic applications, demonstrating impact in both construction and nuclear industries. His ongoing contributions to haptic accuracy and teleoperation systems position him as a notable figure in applied robotics, with potential for further influence as his citation counts grow.