Isa Rachman
Papers
1
Total Citations
22
H-Index
1
About
Isa Rachman is a researcher specializing in robotics and artificial intelligence, with a particular focus on autonomous mobile systems and intelligent control algorithms. His work bridges the gap between neural networks and fuzzy logic, exploring how these complementary AI techniques can enhance robotic navigation and decision-making. 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), provides a comparative study of two AI methods—back propagation neural networks and fuzzy logic controllers—applied to wall-following robots. By modeling three input variables and two output variables, Rachman demonstrates how these approaches can be optimized for real-time autonomous navigation. This contribution is significant for researchers and engineers developing cost-effective, intelligent robotic systems capable of operating in constrained environments. Rachman’s work has been cited by peers exploring similar control strategies, underscoring its relevance in advancing autonomous robotics. His research continues to influence the design of more adaptive and efficient mobile robots, making him a notable figure in the intersection of AI and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1