Ailong Yang

University of Science and Technology Beijing

Papers

Total Citations

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About

Ailong Yang is a researcher in robotic grasping and manipulation, with a focus on developing low-cost, flexible automation solutions for industrial applications. His work centers on the mechanics of gripper design, particularly the relationship between caging grasps and form-closure grasps—a critical distinction for reliable object handling. His most-cited paper, "Grasping Objects: The Relationship Between the Cage and the Form-Closure Grasp" (2017, 19 citations), explores how one-degree-of-freedom (1-DoF) two-pin and three-pin grippers can achieve robust grasps without complex sensing or actuation. This contribution addresses a key challenge in manufacturing: enabling low-cost grippers to reliably handle and classify diverse items. Yang’s research bridges theoretical grasp analysis and practical automation, offering insights that help engineers design simpler, more dependable robotic systems. His work is particularly relevant for industries seeking to reduce costs while maintaining high reliability in sorting and assembly tasks. Though early in his career, Yang’s focused contributions to grasp taxonomy and gripper design have already informed both academic research and industrial practice.