Rangga Pangabidin
Papers
1
Total Citations
22
H-Index
1
About
Rangga Pangabidin is a robotics and artificial intelligence researcher whose work focuses on intelligent control systems for autonomous mobile robots. 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), makes a significant contribution by systematically comparing two foundational AI approaches—neural network backpropagation and fuzzy logic—for real-time robot navigation. In this study, Pangabidin demonstrates how a robot with three input variables and two output variables can effectively follow walls, a critical capability for autonomous exploration and mapping. His comparative analysis provides practical insights into the trade-offs between learning-based and rule-based control methods, helping other researchers choose appropriate techniques for mobile robotics applications. While his citation count reflects a focused, early-career impact, Pangabidin’s work is notable for its clear experimental methodology and its relevance to the growing field of intelligent autonomous systems. His research bridges classical control theory with modern AI, offering valuable lessons for students and engineers developing robots that must navigate complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1