Mingdao Wang

Beijing Institute of Graphic Communication

Papers

Total Citations

H-Index

About

Mingdao Wang is a researcher in mechanical and automation engineering, with a focus on precision robotics and industrial printing machinery. His work addresses the critical challenge of automating complex assembly processes in printing systems, particularly through the development of robotic systems for sleeve installation. Wang’s most-cited paper, "Modeling of the Robot of Sleeve Installation for Printing Machine" (2018), presents a detailed kinematic and dynamic model that optimizes the precision and reliability of robotic sleeve placement—a task essential for high-speed, high-quality printing operations. Although his citation count is modest, this contribution is valued in niche industrial automation contexts, where it supports efficiency gains and reduces manual error. Wang’s research bridges theoretical modeling and practical application, offering insights into robotic manipulation for manufacturing. His work is particularly relevant for engineers and students exploring automation in printing technologies, and it lays groundwork for future innovations in adaptive robotic systems.