Haokun Yang

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About

Haokun Yang is a robotics researcher whose work centers on the design and optimization of adaptive robotic hands, with a particular focus on underactuated, tendon-driven mechanisms. His major contributions lie in the development of the cluster-tube self-adaptive (CTSA) robot hand, a novel design that combines a motor-driven transmission with multiple elastic tendons and sliding-tube assemblies to achieve versatile, self-adaptive grasping without complex control systems. This innovation, first detailed in his 2017 paper "A novel cluster-tube self-adaptive robot hand," has garnered 25 citations, establishing it as a foundational reference in the field of adaptive grippers. Yang's subsequent work, including a 2018 study on capability analysis and optimal design, further refines the CTSA hand's performance by exploring tendon routing and structural optimization. His research addresses key challenges in robotic manipulation—enabling hands to conform to objects of varying shapes and sizes with minimal actuation. By bridging mechanical design and practical adaptability, Yang's contributions offer a promising path toward simpler, more robust robotic hands for applications in manufacturing, prosthetics, and human-robot interaction.