Heng Zhou

Guangdong University of Technology, China State Construction Engineering (China)

Papers

Total Citations

H-Index

About

Heng Zhou’s research lies at the intersection of mobile robotics, intelligent path planning, and robotic health monitoring. In his highly cited 2017 work, Zhou tackled the challenging problem of dynamic path planning for mobile robots in unknown environments by introducing an improved genetic algorithm. His key innovation was a reward value model that estimates the probability of encountering dynamic obstacles, enabling safer and more adaptive navigation. This paper has garnered 12 citations, reflecting its foundational contribution to the field. More recently, Zhou has turned his attention to robotic maintenance, specifically developing a novel fault diagnosis method for bearings in the walking mechanism of wall‑building robots. By leveraging roadside acoustic signals, his 2022 study offers a non‑invasive, cost‑effective approach to detecting bearing faults—a critical but often overlooked component. This work, with 4 citations, demonstrates his commitment to practical, real‑world robotic applications. Zhou’s research bridges theoretical optimization and applied diagnostics, making him a thoughtful contributor to both autonomous navigation and industrial robotics reliability.