Rafli Syahrofi Hakim

Papers

Total Citations

H-Index

About

Rafli Syahrofi Hakim is an emerging researcher in the field of embedded systems and robotics, with a particular focus on computer vision and automation. His work centers on developing practical, low-cost solutions for object tracking and autonomous navigation, bridging the gap between advanced sensor technology and real-world industrial applications. Hakim’s most cited paper, "Implementation of an Object Tracking System Using Arduino and Huskylens Camera" (2023, 3 citations), demonstrates his ability to create accessible, efficient systems that can streamline industrial processes—such as automated material handling—by enabling robots to visually recognize and follow objects. This contribution highlights his expertise in integrating affordable hardware like Arduino microcontrollers with visual sensors to solve tangible problems. While his citation count is still growing, Hakim’s work represents a valuable step toward democratizing robotics technology, making it more attainable for small-scale industries and educational projects. His research is particularly notable for its hands-on, application-driven approach, offering a blueprint for students and engineers looking to implement cost-effective tracking systems. As he continues to develop his portfolio, Hakim is poised to make further impacts in the intersection of embedded systems, sensor fusion, and industrial automation.