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About

Xingtian Yao is a robotics researcher whose work focuses on creating practical, cost-effective robotic systems for real-world applications. His key research areas include stair-cleaning robotics, visual servo control for 3D reconstruction, inverse kinematic solutions, and dexterous robot hand design. Yao’s most impactful contribution is the development of a compact stair-cleaning robot (2016, 26 citations), which addresses the limitations of existing large, complex, and expensive designs by proposing a simpler, more practical alternative. He has also advanced automatic view planning with a visual servo-based approach for determining next best views (2015, 5 citations), improving upon classical methods like the mass vector chain. In robot kinematics, Yao introduced a novel inverse kinematic solution for partially decoupled robots (2015, 4 citations), overcoming constraints of conventional D-H model algorithms. More recently, he developed a three-fingered robot hand based on slider and rocker mechanisms (2021, 2 citations), prioritizing simplicity and affordability over complexity. Across these works, Yao demonstrates a consistent commitment to accessible, functional robotics, making his contributions valuable for students and researchers interested in practical automation and mechanism design.