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About

Chunyang Sheng is a leading researcher in robotics, autonomous systems, and intelligent control, with a focus on solving fundamental challenges in robot kinematics, sensor fault diagnosis, and mobile robot navigation. His most influential work includes a novel fault diagnosis method for quadrotor UAV sensors (25 citations), which addresses critical reliability issues in aerial robotics. Sheng also pioneered a mobile robot indoor positioning system based on K-ELM (20 citations), offering a solution to the persistent problems of poor accuracy and system instability in industrial and home automation environments. His contributions to robot kinematics are equally notable: he developed a general inverse solution for six-degree-of-freedom serial robots using the product of exponentials model, and proposed novel subproblem solutions for arbitrary robot axes, enabling closed-form inverse kinematics for non-standard configurations. More recently, Sheng has advanced mobile robot path planning with an improved M-DQN algorithm incorporating epsilon-UCB action selection and multi-goal fusion reward functions. His work on dissipativity-based asynchronous control for singular Markov jump systems further demonstrates his versatility in control theory. With over 75 total citations, Sheng’s research continues to shape the fields of robotics, automation, and intelligent systems.