Yudanta Ina Putra
Papers
1
Total Citations
10
H-Index
1
About
Yudanta Ina Putra is a robotics researcher specializing in computer vision and autonomous navigation for search-and-rescue applications. His work centers on developing real-time object detection and identification systems using the YOLO (You Only Look Once) method, specifically tailored for legged robots operating in hazardous environments. His most-cited paper, "Camera-based Object Detection and Identification using YOLO Method for Indonesian Search And Rescue Robot Competition" (2022, 10 citations), addresses the critical challenge of enabling robots to autonomously detect and respond to fire and victim targets in simulated burning building scenarios. This research directly supports the Indonesian Search And Rescue Robot Competition, where robots must extinguish candle flames and rescue victims to safe zones as quickly as possible. Putra’s contributions have practical implications for disaster response robotics, improving the speed and reliability of autonomous rescue operations. His work demonstrates how lightweight, efficient computer vision algorithms can be integrated into resource-constrained robotic platforms, making him a notable figure in the intersection of embedded AI and humanitarian robotics.
Research Focus
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Top Papers
- 1