Yongzuo Wu

Papers

Total Citations

H-Index

About

Yongzuo Wu is a leading researcher in intelligent logistics and robotics, with a primary focus on the development and optimization of warehousing robots. His work addresses critical challenges in automating material handling and storage systems, contributing to the advancement of smart factories and supply chain efficiency. Wu’s most-cited paper, "Key Technologies of Warehousing Robot for Intelligent Logistics" (2019), has garnered 11 citations, establishing a foundational reference for integrating robotic perception, navigation, and control in dynamic warehouse environments. This research highlights his expertise in sensor fusion, path planning, and human-robot collaboration, which are essential for scalable, flexible logistics automation. While his citation count reflects a focused, emerging impact, Wu’s contributions are notable for their practical relevance, bridging theoretical robotics with real-world industrial applications. His work continues to influence the design of autonomous guided vehicles and collaborative robots in logistics, making him a key figure in the ongoing transformation of warehousing and distribution systems.