Yushu Cui

Papers

Total Citations

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About

Yushu Cui is a robotics researcher whose work centers on the locomotion and control of legged systems, with a particular focus on quadruped robots. Their most notable contribution is the development of an optimal trajectory planning control method that leverages real-time trunk posture feedback. By constructing the kinematics equations of the mobile robot and establishing a transformation matrix between the robot’s trunk posture and its leg movements, Cui has advanced the precision and adaptability of quadruped locomotion. This work, published in 2023, has already garnered attention in the field, accumulating 1 citation—a promising start for a recent publication. Cui’s research addresses a critical challenge in robotics: enabling dynamic, stable movement in complex environments. Their approach not only improves real-time control but also lays the groundwork for more autonomous and responsive robotic systems. As a researcher dedicated to bridging theoretical kinematics with practical control, Yushu Cui is contributing to the next generation of agile, terrain-adaptive robots, making their work essential reading for students and engineers interested in legged robotics and motion planning.