Cheng-Kai Chiang

Chien Hsin University of Science and Technology

Papers

Total Citations

H-Index

About

Cheng-Kai Chiang is a robotics researcher specializing in the motion control and vision-based automation of cable-suspended robots. His work focuses on integrating image recognition with coordinate transformation algorithms to enhance the precision and functionality of these flexible robotic systems. In his most cited study, "Motion control of a cable-suspended robot using image recognition with coordinate transformation" (2020, 5 citations), Chiang developed a novel controller that enables cable-suspended robots to perform complex pick-and-place tasks with improved accuracy. By combining real-time visual feedback with dynamic coordinate mapping, his approach addresses key challenges in manipulating suspended loads, offering practical solutions for industrial automation and material handling. Though early in his career, Chiang’s contributions are gaining attention for bridging computer vision and robotic control in non-traditional robot architectures. His work holds promise for advancing the reliability and autonomy of cable-driven systems in manufacturing and logistics.