I. Pratomo
Papers
1
Total Citations
22
H-Index
1
About
I. Pratomo is a researcher whose work lies at the intersection of artificial intelligence, robotics, and control systems. His most-cited paper, "Analysis of artificial intelligence application using back propagation neural network and fuzzy logic controller on wall-following autonomous mobile robot" (2017, 22 citations), compares two AI approaches—back propagation neural networks and fuzzy logic controllers—for enabling autonomous wall-following in mobile robots. This study, which models a robot with three input and two output variables, demonstrates Pratomo's focus on practical, real-time decision-making algorithms for robotics. His contributions advance the understanding of how different AI techniques can be applied to sensor-based navigation, offering insights into their respective strengths in handling uncertainty and learning. While his citation count reflects a growing niche impact, his work is foundational for students and engineers exploring low-cost, intelligent control systems for autonomous vehicles. Pratomo’s research bridges theoretical AI methods with tangible robotic applications, making his studies valuable for those interested in embedded intelligence and mobile robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1