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About

Guodong Yang is a robotics and control systems researcher whose work spans embedded controller design, cable-driven parallel robots, multi-agent systems, and path planning for specialized robotic platforms. His most notable contribution lies in developing an innovative dual-core processor-based controller integrating both real-time and general-purpose operating systems (RTOS-GPOS), offering a streamlined, cost-effective alternative to traditional multiprocessor architectures in robotic applications. Yang has also made meaningful contributions to one of the world's most ambitious scientific instruments — the Five-hundred-meter Aperture Spherical radio Telescope (FAST) — by developing multi-objective pose optimization methods for its cable-driven feed support system, work that has garnered six citations and demonstrates his ability to tackle large-scale, precision engineering challenges. His earlier research on distributed crustal movement simulation using multi-agent systems reflects a breadth of expertise extending into geophysical modeling and coordinated motion control. Additionally, his path planning work for robots operating in confined environments showcases practical algorithmic innovation using enhanced A* methods. With a research portfolio combining theoretical rigor and real-world engineering applications, Yang represents a versatile contributor to modern robotics and intelligent control systems.