Dessyanto Boedi Prasetyo
Papers
1
Total Citations
2
H-Index
1
About
Dessyanto Boedi Prasetyo is a researcher at the forefront of autonomous drone navigation and robotics competition systems. His primary research areas include computer vision, drone autonomy, and QR code-based localization for unmanned aerial vehicles (UAVs). His most notable contribution is the development of a fast component-based two-staged algorithm for QR code recognition, designed to enhance drone navigation in competitive environments like the Kontes Robot Terbang Indonesia (KRTI) VTOL challenge. This work, published in 2024, has already garnered 2 citations, reflecting its immediate relevance to the field. By enabling drones to autonomously interpret QR codes for package delivery tasks, Prasetyo’s algorithm addresses critical challenges in real-time object detection and navigation accuracy. His research is particularly impactful for robotics competitions organized by the National Achievement Center (Puspresnas), where his methods have been applied to optimize drone performance. Prasetyo’s work bridges the gap between theoretical computer vision and practical autonomous systems, offering scalable solutions for drone-based logistics. His contributions are paving the way for more reliable and efficient UAV operations in both competitive and real-world scenarios, making him a rising figure in the intersection of robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1