Fitrah Triatmojo
Papers
1
Total Citations
3
H-Index
1
About
Fitrah Triatmojo is a researcher in robotics and computer vision, with a focus on color-based object tracking and autonomous navigation systems. His most cited work, "Robot Pengikut Posisi dengan Menggunakan Filter Warna HSV" (2018), which has garnered 3 citations, introduces a novel approach to position-following robots by leveraging HSV color filtering for real-time object identification and tracking. This contribution advances the application of digital image processing in robotics, demonstrating how color segmentation can enhance a robot’s ability to detect and follow targets with improved accuracy and reliability. Triatmojo’s research addresses practical challenges in automating visual recognition, reducing image noise, and enabling responsive movement in dynamic environments. His work is particularly relevant for developing low-cost, vision-based robotic systems used in industrial automation, assistive technologies, and educational robotics. By integrating fundamental image processing techniques with robotic control, Triatmojo has laid groundwork for more accessible and efficient autonomous systems, making his contributions valuable for students and researchers exploring the intersection of computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1Robot Pengikut Posisi dengan Menggunakan Filter Warna HSV3 citations · 2018