Zakha Maisat Eka Darmawan
Papers
2
Total Citations
13
H-Index
2
About
Zakha Maisat Eka Darmawan is a researcher at the forefront of intelligent robotics and interactive simulation, with a focus on real-world applications in search and rescue and education. His work centers on integrating computer vision and augmented reality to enhance robotic autonomy and human-robot interaction. In his most cited paper (10 citations), Darmawan developed a camera-based object detection system using the YOLO method for the Indonesian Search and Rescue Robot Competition, enabling legged robots to autonomously identify and extinguish candle flames and rescue victims in simulated burning buildings—a critical contribution to disaster response robotics. He further advanced the field with his work on interactive augmented reality simulations (3 citations), creating a digital twin of a robotic arm that operates in real-time synchronization with its virtual counterpart. This innovation stimulates children’s learning about robotic arm behavior, bridging the gap between physical and virtual systems. Darmawan’s research demonstrates a unique blend of practical engineering and educational impact, making him a notable figure in the development of accessible, high-performance robotic systems for both emergency scenarios and STEM education.
Research Focus
Key Achievements
Top Papers
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- 2