Haoyue Tan

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About

Haoyue Tan is an emerging researcher in the fields of robotics, computer vision, and intelligent automation, with a particular focus on integrating deep learning with embedded systems for real-world applications. Tan’s most notable contribution is the design of an automatic recycling robot that leverages YOLO v4 target detection to enable autonomous item grasping and recovery. This work, published in 2022 and garnering 5 citations, demonstrates a practical fusion of high-performance computing units—Jetson Nano and STM32F103ZET6—to process visual data and control robotic operations efficiently. By addressing the challenge of automated waste sorting and retrieval, Tan’s research holds promise for advancing sustainable robotics solutions. Though early in their career, Tan’s work reflects a strong commitment to bridging the gap between cutting-edge AI algorithms and tangible engineering systems, offering a scalable blueprint for intelligent automation in environmental and industrial contexts. As their citation footprint grows, Tan is poised to make further strides in autonomous systems and embedded vision.