Hanif Septyan Nu'man

Papers

Total Citations

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About

Hanif Septyan Nu'man is a researcher in robotics and computer vision, with a focus on developing intelligent automation systems for industrial applications. His most cited work, "Pengendalian Robot Lengan Pemilah Benda Berdasarkan Bentuk Menggunakan Teknologi Computer Vision" (2020), demonstrates his core contribution: integrating vision-based object recognition with robotic arm control to enable automated sorting by shape. This work addresses critical needs in manufacturing and food industries, where rising production demands require efficient, precise automation. By combining computer vision algorithms with robotic manipulation, Nu'man's research provides practical solutions for enhancing productivity and reducing human error in repetitive sorting tasks. His work has garnered 2 citations, reflecting its relevance to Indonesian-language robotics literature and its potential for real-world implementation. Nu'man's contributions lie at the intersection of robotics, image processing, and industrial engineering, offering a foundation for further development in smart manufacturing systems. His research is particularly valuable for students and engineers seeking to understand how computer vision can empower robotic systems to perform complex, adaptive tasks in dynamic production environments.