Muhamad Farihin Talib

Papers

Total Citations

671

H-Index

About

Muhamad Farihin Talib is a prominent researcher in the fields of industrial automation, robotics, and computer vision, with a particular focus on the transformative potential of Industry 4.0. His most influential work, the 2016 review "INDUSTRY 4.0: A REVIEW ON INDUSTRIAL AUTOMATION AND ROBOTIC," has garnered an impressive 668 citations, establishing it as a foundational resource for understanding the integration of robotics and automation in the fourth industrial revolution. This seminal paper, widely recognized by companies, research centers, and universities, synthesizes the technological advances driving smart manufacturing. In parallel, Talib has contributed to practical robotic vision systems, developing a fast and robust stereo matching algorithm that improves upon the classic Census transform for obstacle detection under challenging conditions. This work addresses the critical need for reliable depth perception in autonomous systems, enhancing performance under variant illumination and non-ideal environments. Through his research, Talib bridges the gap between high-level industrial paradigms and low-level algorithmic innovation, making him a key figure in advancing both the theoretical framework and the practical tools of modern robotics and automation.