Zhongyuan Guo

State Key Laboratory of Remote Sensing Science

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About

Zhongyuan Guo is a rising researcher in the field of robotics, with a primary focus on the dynamic modeling, control, and optimization of flexible and rigid–flexible coupling manipulators. His work addresses critical challenges in lightweight robotic arms, particularly the spatial vibrations that compromise precision in applications like space exploration and advanced manufacturing. Guo’s major contributions include developing a rigid–flexible coupling dynamics model using the assumed mode method, which accurately captures the complex vibrational behavior of lightweight manipulators. He has also pioneered an improved adaptive particle swarm optimization algorithm integrated with fuzzy PD control, significantly enhancing trajectory tracking accuracy and vibration suppression in flexible manipulators. His most-cited paper, "Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control" (2025), has already garnered 7 citations, reflecting its timely impact. Additionally, his 2024 work on dynamic modeling has received 2 citations. Guo’s research is notable for bridging theoretical dynamics with practical control solutions, offering a pathway toward more precise, lighter, and more efficient robotic systems. His achievements position him as an emerging authority in manipulator optimization and control.