Ariadie Chandra Nugraha
Papers
1
Total Citations
3
H-Index
1
About
Ariadie Chandra Nugraha is a researcher whose work lies at the intersection of robotics, computer vision, and artificial intelligence, with a particular focus on humanoid robotics and autonomous systems. His key research areas include object detection for robotic applications, human-robot interaction, and the development of intelligent control systems for humanoid robots. Nugraha’s most notable contribution is his work on the "Development of Ball Detection System with YOLOv3 in a Humanoid Soccer Robot" (2021), which has garnered 3 citations and demonstrates his practical approach to integrating deep learning with real-time robotic perception. This research is particularly significant in the context of humanoid robot soccer competitions, where accurate and fast ball detection is critical for autonomous decision-making. His work contributes to advancing the capabilities of humanoid robots in dynamic environments, bridging the gap between theoretical computer vision models and practical robotic applications. Nugraha’s research is valuable for students and researchers interested in applying state-of-the-art object detection algorithms to real-world robotic systems, offering insights into the challenges and solutions in developing autonomous humanoid robots for competitive and collaborative tasks.
Research Focus
Key Achievements
Top Papers
- 1