Tao Fu

Dalian University of Technology, Beijing Academy of Agricultural and Forestry Sciences

Papers

Total Citations

H-Index

About

Tao Fu is a researcher at the forefront of intelligent automation and environmental monitoring, with a focus on autonomous systems and computer vision. His work bridges the gap between heavy industry and ecological sustainability, notably through the design and development of an unmanned electric shovel for autonomous mining. In this landmark 2022 study, Fu introduced point cloud-based optimal trajectory planning, enabling excavation equipment to operate without human intervention—a breakthrough that has garnered 25 citations and signals a paradigm shift toward safer, more efficient mining operations. More recently, Fu has applied deep learning to aquaculture with DF-DETR (Dead Fish Detection Transformer), a 2024 paper that leverages transformer architectures to identify deceased fish in recirculating systems, addressing critical challenges in food production and animal welfare. This work demonstrates his versatility in adapting cutting-edge AI to real-world ecological problems. With a growing citation record and a portfolio that spans autonomous navigation to precision agriculture, Tao Fu is establishing himself as an innovator who transforms complex engineering challenges into practical, impactful solutions for industry and the environment.