Papers
2
Total Citations
6
H-Index
2
About
Haoyi Niu is a researcher focused on advancing automation and robotics in industrial and logistics settings, with a particular emphasis on multi-robot coordination and scheduling. Their work addresses critical challenges in intelligent warehousing and manufacturing, specifically the optimization of Automated Guided Vehicles (AGVs) and assembly line operations. In their 2021 paper, Niu introduced a novel hierarchical charging algorithm for AGV dispatching in multi-robot systems, designed to maximize transportation efficiency by intelligently managing battery charging processes in real-world warehouse environments. This work, which has garnered 3 citations, provides a practical solution to a key bottleneck in autonomous logistics. Building on this, Niu’s 2023 research presents a look-ahead AGV scheduling algorithm that ensures processing sequence conflict-free operation for no-buffer assembly lines, a significant contribution to customized production efficiency. With a focus on real-world applicability, Niu’s contributions help bridge the gap between theoretical robotics and industrial deployment, offering scalable solutions that enhance productivity and reduce downtime in modern manufacturing systems.
Research Focus
Key Achievements
Top Papers
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