Ukyoung Chang

Papers

Total Citations

180

H-Index

About

Ukyoung Chang is a pioneering researcher at the forefront of soft robotics, with a primary focus on anthropomorphic robotic hand design and dexterous manipulation. Their work fundamentally challenges traditional rigid-robot paradigms by demonstrating that soft, compliant structures can achieve remarkable human-like hand dexterity with far less mechanistic complexity. Chang’s landmark 2019 paper, “A Soft-Robotic Approach to Anthropomorphic Robotic Hand Dexterity,” has garnered 141 citations, establishing a foundational framework for the field. This work showed that soft robotic hands can replicate a substantial subset of human grasping capabilities despite their simpler construction. Chang further advanced intuitive control with the development of the BCL-13 humanoid soft-robotic hand (2018, 20 citations), addressing the critical challenge of bridging human intent with compliant actuator response. Their 2019 paper on grasping component mapping (19 citations) tackled the inherent control difficulties posed by soft robotics’ structural compliance, offering novel solutions for end-effector control. By proving that soft robots can overcome their mathematical modeling limitations to achieve safe, adaptable, and dexterous performance, Chang has opened new pathways for human-robot interaction and prosthetic design.