Efrita Arfah Zuliari
Papers
1
Total Citations
12
H-Index
1
About
Dr. Efrita Arfah Zuliari is a robotics researcher whose work focuses on intelligent localization systems for autonomous mobile robots, particularly in disaster response applications. Her most-cited paper, "Implementation of Artificial Neural Networks for Localization System on Rescue Robot" (2018, 12 citations), addresses a critical challenge in rescue robotics: enabling robots to navigate safely and guide disaster victims to evacuation points. By applying artificial neural networks to localization, Dr. Zuliari's work enhances a robot's ability to determine its position and plan optimal paths in chaotic, unstructured environments—a key factor in mission success. This research bridges machine learning and field robotics, contributing to more reliable autonomous systems for search-and-rescue operations. Her contributions are particularly relevant as robotics plays an increasing role in humanitarian aid and disaster management. Dr. Zuliari's work demonstrates how intelligent algorithms can transform a robot from a simple tool into a capable first responder, improving the speed and safety of rescue missions. Her research continues to influence the development of robust, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1