Luxin Tang

Guangdong Polytechnic of Science and Technology

Papers

Total Citations

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About

Luxin Tang is a leading researcher at the forefront of agricultural and industrial robotics, with a primary focus on machine vision and intelligent automation. Their most impactful work addresses a critical bottleneck in modern agriculture: the development of robust target recognition technology for fruit-picking robots. In their highly cited 2023 review, Tang provides a comprehensive analysis of the evolution from traditional digital image processing to cutting-edge deep learning techniques, demonstrating how machine vision dramatically enhances the efficiency and quality of robotic harvesting in complex, unstructured environments. This work, which has already garnered 62 citations, serves as a foundational resource for researchers aiming to bridge the gap between computer vision and precision agriculture. Additionally, Tang has contributed to industrial automation by researching space motion trajectory optimization for industrial robots. Their 2021 study proposes an innovative online iterative learning planning method for robotic manipulators to capture moving objects, establishing dynamic mathematical models to refine path planning algorithms. Through these contributions, Luxin Tang is shaping the future of intelligent robotic systems, from the orchard to the factory floor.