Nana Ramadijanti
Papers
1
Total Citations
3
H-Index
1
About
Nana Ramadijanti is a researcher specializing in computer vision, robotics navigation, and image processing. Her work focuses on developing intelligent systems that enable autonomous navigation in challenging environments, particularly where traditional wheel-based odometry fails due to uneven terrain or wheel slippage. Her most cited paper, "Utilization image of monocular camera to build navigation system and path mapping using SURF approach" (2017, 3 citations), introduces a novel method using monocular cameras and SURF (Speeded-Up Robust Features) to create reliable navigation and path mapping for rescue and surveillance robots. This approach addresses critical limitations in conventional navigation systems by leveraging visual features to maintain accurate positioning even on irregular surfaces. Ramadijanti's contributions are particularly valuable for robotics applications in disaster response and exploration scenarios. Her research bridges computer vision and robotics, offering practical solutions for real-world navigation challenges. While her citation count is modest, her work represents important foundational research in vision-based autonomous systems, demonstrating the potential of monocular camera approaches for robust robot navigation in complex environments.
Research Focus
Key Achievements
Top Papers
- 1