Yusuf Sofyan

Papers

Total Citations

H-Index

About

Yusuf Sofyan is a researcher in robotics and computer vision, with a focus on developing intelligent automation systems for industrial applications. His work centers on integrating visual perception with robotic control to enhance efficiency in manufacturing and food processing. His most cited paper, "Pengendalian Robot Lengan Pemilah Benda Berdasarkan Bentuk Menggunakan Teknologi Computer Vision" (2020), addresses the critical challenge of object sorting by shape—a task vital for production lines where human limitations in speed and consistency pose bottlenecks. By leveraging computer vision, Sofyan enables robotic arms to autonomously identify and sort objects, reducing reliance on manual labor and improving throughput. Though his citation count is modest, his research contributes to the growing field of vision-guided robotics, particularly in contexts where adaptability and precision are paramount. His work underscores the practical integration of AI and mechanical systems, offering scalable solutions for industries facing rising production demands. Sofyan’s contributions are a stepping stone for further advancements in automated quality control and material handling.