Shiquan Hao

Papers

Total Citations

H-Index

About

Shiquan Hao is a researcher focused on advancing robotic automation and intelligent manufacturing, with particular expertise in trajectory planning, image processing, and customized pattern application. His most cited work, "Research on the trajectory planning method of custom pattern robot based on image processing" (2021), addresses a critical gap in industrial robotics: the inability to efficiently automate multi-color, complex pattern spraying. Hao’s major contribution lies in developing a method that integrates image processing with robotic trajectory planning, enabling robots to autonomously apply customized digital camouflage patterns—a task previously reliant on manual labor. This innovation holds significant potential for industries requiring high-precision, multi-color coatings, such as defense and automotive manufacturing. While his citation count is currently modest (2 citations), the work’s practical relevance and novelty suggest growing impact as the field of smart manufacturing expands. Hao’s research bridges computer vision and robotics, offering a scalable solution for customized production. His achievements highlight a promising trajectory in applied robotics, where his methods could reduce waste and increase efficiency in pattern-based manufacturing.