Lin-Tai Yu

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Total Citations

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About

Lin-Tai Yu is a robotics researcher whose work bridges mechanical design, control systems, and applied artificial intelligence. His primary research areas include robotic manipulation, mechatronic system design, and computer vision for interactive tasks. Yu’s most notable contribution is his pioneering case study on robotic arm billiards, where he developed a complete system integrating a custom 3D-printed gripper mechanism with dedicated drive and control circuits, alongside a camera-based vision system for ball tracking and shot planning. This work demonstrates a holistic approach to robotic task execution, from hardware fabrication to real-time control. While his 2023 paper has garnered 3 citations to date, its interdisciplinary nature—combining additive manufacturing, embedded systems, and computer vision—positions it as a foundational reference for researchers exploring robotic sports and precision manipulation. Yu’s work exemplifies how robotics can tackle complex, dynamic environments requiring both dexterity and perception. His achievements highlight the importance of custom hardware design in enabling novel robotic capabilities, and his case study serves as an accessible entry point for students interested in hands-on robotics integration.