Shuihai Dou

Beijing Institute of Graphic Communication

Papers

Total Citations

H-Index

About

Shuihai Dou is a researcher focused on advancing automation and intelligent control systems, with a particular emphasis on robotics and logistics optimization. His most-cited work, "Research on Path Planning of Logistics Storage Robot Based on Fuzzy Improved Artificial Potential Field Method" (2021), addresses a critical challenge in warehouse automation: enabling robots to navigate dynamic environments efficiently and safely. By integrating fuzzy logic with the artificial potential field method, Dou’s approach enhances obstacle avoidance and path smoothness, offering a more adaptive solution for real-world logistics operations. Though his citation count is modest, his contribution lies in refining classical algorithms for practical deployment, bridging the gap between theoretical robotics and industrial application. This work holds significance for the growing field of smart warehousing, where autonomous robots are increasingly essential. Dou’s research signals a commitment to solving tangible problems in automation, making him a promising voice in the development of intelligent, responsive robotic systems for logistics and beyond.