Po-Kai Yang

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About

Po-Kai Yang is a robotics and automation researcher whose work centers on integrating computer vision with mechanical systems to create intelligent, practical robotic solutions. His most notable contribution is the development of an automated pneumatic vacuum suction robotic arm, a 4-degree-of-freedom system constructed from acrylic and equipped with a 5 MP USB camera, a pneumatic suction cup, and an air pump. By employing computer vision algorithms to extract object coordinates from captured images, Yang’s system enables precise, autonomous object manipulation—a key advancement for industrial pick-and-place tasks and automated assembly lines. This work, published in 2020, has garnered 3 citations and demonstrates a hands-on approach to bridging software and hardware in robotics. Yang’s research exemplifies how low-cost materials and accessible technology can be leveraged to build functional, vision-guided robotic arms, offering a scalable model for automation in resource-constrained settings. His contributions are particularly relevant for students and researchers exploring the intersection of mechanical design, embedded systems, and real-time image processing in robotics.