Agus Budianto
Papers
1
Total Citations
22
H-Index
1
About
Agus Budianto is a researcher specializing in robotics and artificial intelligence, with a particular focus on autonomous mobile systems and intelligent control methods. His most-cited work, "Analysis of artificial intelligence application using back propagation neural network and fuzzy logic controller on wall-following autonomous mobile robot" (2017, 22 citations), makes a significant contribution by comparing two key AI approaches—neural network backpropagation and fuzzy logic controllers—for enabling wall-following behavior in autonomous robots. This study demonstrates his expertise in designing systems that process multiple sensor inputs to guide robot navigation, offering practical insights into the strengths and limitations of each method. With 22 citations, this paper has become a reference point for researchers exploring AI-driven mobile robotics, particularly in the areas of sensor-based control and autonomous navigation. Budianto’s work bridges theoretical AI concepts with real-world robotic applications, making his research valuable for students and engineers developing intelligent, self-guided machines. His contributions highlight the ongoing evolution of autonomous systems, where adaptive learning and rule-based control converge to create more robust and efficient robots.
Research Focus
Key Achievements
Top Papers
- 1