Renxuan Fu

Guangdong Polytechnic of Industry and Commerce, Guangdong Industry Technical College

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About

Renxuan Fu is a researcher at the forefront of agricultural robotics and intelligent manufacturing, whose work directly addresses critical challenges in automation. Fu’s primary research areas include multi-objective trajectory planning for manipulators, the integration of industrial robots with programmable logic controllers (PLCs), and the development of simulation platforms for computer numerical control (CNC) manufacturing. Their most impactful contribution is a novel multi-objective particle swarm optimization algorithm for fruit-picking manipulators, which tackles the persistent problem of achieving stable, efficient, and lossless fruit harvesting. This seminal work, published in 2021, has garnered 62 citations, highlighting its significance in advancing agricultural automation. Fu’s research provides a practical solution to a long-standing bottleneck in automatic picking technology, offering a pathway to more reliable and productive robotic systems. Additionally, Fu has contributed to educational and industrial advancement by developing a simulation platform for CNC intelligent manufacturing, addressing the critical gap between theoretical knowledge and practical application in automation training. Through these efforts, Renxuan Fu is making tangible strides in both the theoretical and applied realms of robotics and manufacturing.