Chang Shilei

Papers

Total Citations

H-Index

About

Chang Shilei is a researcher focused on the intersection of industrial automation and cyber-physical systems (CPS). His most notable work, "Industrial robot system based on CPS approach" (2018), explores the integration of computational and physical processes to enhance the flexibility, efficiency, and safety of robotic systems in manufacturing environments. While his citation count remains modest—with this key paper garnering 3 citations—his contribution is significant in the context of emerging smart factory paradigms. Chang's research addresses critical challenges in real-time control, system interoperability, and human-robot collaboration, laying foundational insights for the next generation of adaptive industrial robots. His work is particularly relevant for students and researchers interested in the practical application of CPS to robotics, offering a clear example of how theoretical frameworks translate into tangible industrial solutions. Chang Shilei’s dedication to advancing robotic intelligence within the CPS framework positions him as a thoughtful contributor to the ongoing evolution of automated production systems.