Yu-Kang Chang

National University of Defense Technology

Papers

Total Citations

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About

Yu-Kang Chang is a leading researcher in reconfigurable robotics and multimodal locomotion systems, with a focus on developing adaptive robots that seamlessly integrate wheel, track, and leg functionalities. His most-cited work, "Implementation of a Reconfigurable Robot to Achieve Multimodal Locomotion Based on Three Rules of Configuration" (2019, 12 citations), introduces a groundbreaking deformable rim mechanism that enables robots to transform their locomotion mode in real time. This innovation, guided by three core configuration rules, allows a single platform to navigate diverse terrains—from smooth surfaces to rough obstacles—without mechanical reconfiguration. Chang further advanced this field with his 2018 paper on "Control System Design Based on CANopen Network for a Transformable Multimodal Robot" (6 citations), where he developed a robust, CANopen-based control architecture that coordinates complex motion transitions with high reliability. His work bridges hardware design and control systems, offering scalable solutions for search-and-rescue, exploration, and industrial automation. With a growing citation impact, Chang’s contributions are shaping the future of versatile, field-deployable robots, making him a key figure in adaptive robotics research.