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About

Ming Xin is a leading researcher in nonlinear control theory and its application to robotic systems, with a particular focus on state-dependent Riccati equation (SDRE) techniques and autonomous multi-robot coordination. His most influential work centers on developing robust and optimal control strategies for robot manipulators, where his 2013 paper on nonlinear robust and optimal control has accumulated 53 citations, establishing foundational approaches in the field. Xin has made significant contributions to distributed control systems, demonstrated by his 2011 work on optimal cooperative tracking control for multiple autonomous robots (42 citations), which addresses critical challenges in multi-agent coordination. His innovative research extends to construction robotics through the development of Contour-Crafting-Cartesian-Cable (C4) robot systems, where his 2008 paper comparing workspace and stiffness characteristics (30 citations) introduced novel cable-suspended architectures for large-scale 3D printing applications. Notable achievements include his computational enhancement of the SDRE scheme (2020, 14 citations), which analytically reduces computational burden in solving algebraic Riccati equations, and his nonlinear control design for two-wheeled inverted pendulum robots (2019, 25 citations). With over 190 total citations across his publication record, Xin's work bridges theoretical control advances with practical robotic implementations, making him a respected figure in nonlinear control and autonomous systems research.