Ju Yong Chang
Papers
2
Total Citations
17
H-Index
2
About
Ju Yong Chang is a robotics researcher whose work bridges mechatronic design and control systems for advanced robotic platforms. His primary research areas include cable-suspended robots, bipedal locomotion, and augmented reality (AR) applications in robotics. Chang’s most notable contribution is the development of a novel mechatronic kit with a dedicated control methodology for modularized cable-suspended robots, a type of parallel manipulator gaining traction for manipulation tasks. This work, published in 2015 and cited 13 times, demonstrates his ability to integrate hardware and software for practical robotic systems. Additionally, Chang has explored gait stabilization in biped robots, applying the Zero Moment Point (ZMP) concept with augmented reality techniques to enhance motion stability—a 2013 paper that has garnered 4 citations. By leveraging tools like 3ds Max for simulation, he has advanced the field’s understanding of how AR can improve robotic control. Chang’s work is particularly valuable for students and researchers interested in the intersection of mechatronics, control theory, and human-robot interaction, offering tangible insights into building more stable and versatile robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2