Yiduo Li

Zhejiang University of Science and Technology

Papers

Total Citations

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About

Yiduo Li is a leading researcher in intelligent automation and smart manufacturing, with a core focus on advanced navigation systems for autonomous guided vehicles (AGVs) in complex industrial environments. Their most-cited work, "Advanced 3D Navigation System for AGV in Complex Smart Factory Environments" (2023, 15 citations), addresses a critical bottleneck in Industry 4.0: the limitations of traditional 2D plan-based navigation as factory layouts grow increasingly intricate. Li’s key contribution lies in pioneering a three-dimensional navigation framework that enables AGVs to perceive and adapt to dynamic, multi-level spatial structures, moving beyond fixed-route systems to achieve greater flexibility and efficiency. This work has been recognized for its practical impact on smart factory logistics, offering a scalable solution for real-world deployment. With a growing citation record, Li is establishing a reputation for bridging theoretical robotics with applied industrial engineering. Their research is particularly notable for integrating sensor fusion and real-time path planning, positioning them as a rising voice in the future of autonomous manufacturing systems.