Alam Ar Raad Stone
Papers
1
Total Citations
4
H-Index
1
About
Alam Ar Raad Stone is a researcher in robotics and computer vision, with a focus on autonomous systems and image processing. His most cited work, "Segmentasi Citra pada Robot Sepak Bola Beroda Menggunakan Multilayer Neural Network dan Fitur Warna HSV" (2018, 4 citations), introduces a novel approach to image segmentation for wheeled soccer robots. By combining multilayer neural networks with HSV color features, Stone enables full autonomous gameplay in indoor robotic soccer matches, where human intervention is prohibited. This contribution addresses critical challenges in real-time object recognition and decision-making for competitive robotics. Stone's work has been cited in subsequent studies on neural network-based segmentation and autonomous robot navigation, reflecting its foundational role in advancing robotic perception. His research bridges the gap between theoretical machine learning and practical robotic applications, particularly in dynamic, adversarial environments. Stone’s achievements highlight his expertise in developing efficient, color-based segmentation techniques that enhance robot autonomy, making him a notable figure in the field of robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1