Muhammad Daffa Fadillah
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Daffa Fadillah is a researcher in embedded systems and robotics, with a focus on affordable, real-time object tracking solutions. His most cited work, "Implementation of an Object Tracking System Using Arduino and Huskylens Camera" (2023), demonstrates how low-cost visual sensors can enable robots to autonomously follow recognized objects, streamlining industrial material handling. By integrating the Huskylens camera with the widely accessible Arduino platform, Fadillah’s research lowers the barrier to entry for practical automation, making object tracking technology more deployable in small-scale manufacturing and logistics. Though early in his career, his work has already garnered attention (3 citations), reflecting its relevance to the growing maker and educational robotics communities. Fadillah’s contributions highlight a pragmatic approach to computer vision and control systems, emphasizing simplicity and reproducibility. His ongoing research promises to further bridge the gap between advanced sensing and accessible hardware, inspiring students and engineers to explore intelligent, low-cost automation.
Research Focus
Key Achievements
Top Papers
- 1