Larry Syahrofi Hakim
Papers
1
Total Citations
3
H-Index
1
About
Larry Syahrofi Hakim is a researcher focused on embedded systems, robotics, and computer vision applications. His most-cited work, "Implementation of an Object Tracking System Using Arduino and Huskylens Camera" (2023), demonstrates a practical approach to industrial automation by developing a robot that autonomously follows recognized objects using a visual sensor. This contribution addresses real-world needs in material handling and logistics, offering a low-cost, accessible solution for object tracking. With 3 citations to date, his work has already garnered attention for its clear methodology and potential for further development in smart manufacturing and assistive robotics. Hakim’s research bridges the gap between theoretical computer vision and tangible, deployable systems, making him a promising voice in the field of embedded robotics.
Research Focus
Key Achievements
Top Papers
- 1