Yao Cui

Northwestern Polytechnical University, University of Science and Technology Beijing

Papers

Total Citations

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About

Yao Cui is a researcher specializing in robotics and sensor fusion, with a focus on motion planning and autonomous navigation. Their most notable contribution lies in hierarchical motion planning for space robots, where they developed a task priority matrix approach at the acceleration level—a method that enables complex robotic systems to prioritize and execute multiple tasks simultaneously while maintaining stability and precision. This work, published in 2022, has garnered 11 citations, reflecting its relevance in advancing space robotics. Additionally, Cui has explored inertial navigation system (INS) and ultra-wideband (UWB) fusion using Kalman filters, contributing to improved localization accuracy in challenging environments. Their research bridges theoretical control strategies with practical applications, addressing critical challenges in autonomous systems. By integrating task prioritization with real-time sensor data, Cui’s work supports the development of more adaptive and reliable robots for space exploration and terrestrial navigation. With a growing citation footprint, their contributions are shaping the future of intelligent robotic systems.