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About

Cheng Yong is a robotics engineer specializing in the control systems and kinematic optimization of articulated inspection arms, with a particular focus on applications in hazardous or confined environments. His most significant contribution is the major upgrade of the articulated inspection arm control system, a project detailed in his 2015 paper (10 citations), which was designed to meet the rigorous demands of daily operational use—enhancing reliability and precision in real-world inspection tasks. Building on this foundation, Yong introduced the Dynamic Factor Particle Swarm Optimization (DFPSO) algorithm in 2023 (5 citations), a novel approach to solving inverse kinematics for the CMOR robot through a pose decomposition strategy. This work demonstrates his commitment to advancing computational methods for robotic motion planning, improving efficiency and accuracy in complex positioning tasks. While his citation counts reflect a focused, applied research trajectory, Yong’s contributions are notable for their direct industrial relevance, bridging theoretical optimization with practical robotic control. His achievements underscore a career dedicated to enhancing the autonomy and dependability of inspection robots, making him a valuable figure in the field of applied robotics and control systems.