Zhengwei Hu

Papers

Total Citations

H-Index

About

Zhengwei Hu is a researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and environmental perception for mobile robots. His most cited work, "Complete coverage path planning for road cleaning robot" (2010, 8 citations), addresses a critical challenge in service robotics: enabling autonomous cleaning robots to navigate and cover complex outdoor environments efficiently. In this study, Hu critically analyzes the limitations of biologically inspired neural network algorithms for path planning and proposes enhanced methods for road edge recognition and obstacle detection, including both static and moving obstacles. His contributions have practical implications for the development of more reliable and intelligent cleaning robots, bridging the gap between theoretical algorithms and real-world deployment. While his citation count reflects a focused, early-career impact, Hu’s work demonstrates a thoughtful approach to improving robot autonomy in dynamic settings. His research is particularly relevant for students and engineers interested in the intersection of robotics, computer vision, and artificial intelligence, offering foundational insights into how robots can safely and effectively operate in unstructured environments.