Yuanyi Chen

Jiangxi College of Applied Technology, Zhejiang University

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About

Yuanyi Chen is a researcher at the forefront of integrating computer vision, robotics, and mobile Internet of Things (IoT) technologies. Their work primarily focuses on advancing robot path planning through computer image recognition, developing intelligent systems for analyzing moving object trajectories, and enhancing mobile image multi-label recognition using deep learning frameworks. Chen's most impactful contribution, "Research and Implementation of Robot Path Planning Based on Computer Image Recognition Technology" (9 citations), demonstrates a practical approach to combining visual perception with autonomous navigation, though the path planning module itself remains an area for continued refinement. In their work on "Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT" (3 citations), Chen addresses the growing challenge of analyzing GPS-enabled device data for applications like air pollution monitoring. Additionally, their exploration of "Mobile Image Multi-label Recognition Algorithm Based on PaddlePaddle Platform" (2 citations) showcases expertise in deploying machine vision algorithms on the PaddlePaddle deep learning framework, with implications for video surveillance and real-time recognition. Chen's research bridges theoretical advances with practical implementations, making notable strides in the intersection of robotics, IoT, and computer vision.