Sutarno Sutarno
Papers
4
Total Citations
8
H-Index
2
About
Sutarno Sutarno is a robotics researcher specializing in autonomous navigation, image processing, and human-robot interaction. His work focuses on developing intelligent systems for mobile robots, with key contributions in obstacle avoidance, gesture-based control, and virtual reality applications. His most cited paper, "Autonomous Surface Vehicle (ASV) Obstacle Avoidance Using Fuzzy Kohonen Network (FKN)" (2019, 2 citations), introduces a novel approach to enabling robot boats to autonomously detect and avoid obstacles using a fuzzy neural network as the decision-making core. Another significant work, "Implementation of Image Segmentation Using RGB Color Detection on Virtual Reality Robot as Spy Tool" (2014, 2 citations), demonstrates the use of color-based segmentation and the Pythagoras algorithm to create a compact, remotely controlled spy robot capable of navigating tight spaces. Sutarno also explored hand gesture recognition for mobile robot control via Bluetooth and HSV color space conversion. Though his citation counts are modest, his research addresses practical challenges in field robotics, particularly for surveillance and autonomous surface vehicles, and reflects a hands-on, application-driven approach to engineering intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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