Xiaoliu Yu

Anhui University of Science and Technology, Anhui University of Technology

Papers

Total Citations

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About

Xiaoliu Yu is a leading researcher in robotics, with a primary focus on planetary exploration rovers and robot calibration. Their foundational work on the "Analysis of Obstacle-Climbing Capability of Planetary Exploration Rover with Rocker-Bogie Structure" (2009, 16 citations) established a quasi-static mathematical model that advanced the understanding of wheeled mobile robots in extreme environments, such as planetary surfaces. This contribution has been pivotal for designing rovers capable of navigating unknown and hazardous terrains. More recently, Yu has made significant strides in precision robotics through their innovative "Adjoint error model" for robot calibration, introduced in 2020 (12 citations). This model, based on the Product of Exponentials (POE) formula, simplifies joint twist constraints, enhancing calibration efficiency. Their 2023 follow-up (5 citations) further refined this approach with position-based compensation, demonstrating ongoing impact in industrial and field robotics. With a career marked by practical, high-impact solutions, Yu’s work bridges theoretical modeling and real-world application, earning recognition for improving robot accuracy and mobility. Their research continues to inspire advancements in autonomous systems, from planetary rovers to manufacturing robots.