Danilo Hernane Spatti

Papers

Total Citations

H-Index

About

Danilo Hernane Spatti is a researcher whose work bridges computational intelligence and robotics, with a particular focus on fuzzy systems, neural networks, and mobile robot control. His most-cited paper, "Trajectory Control of Mobile Robot Using Fuzzy Systems and MLP Networks" (2016), exemplifies his contribution to integrating soft computing techniques for autonomous navigation. In this work, Spatti demonstrated how multilayer perceptron (MLP) networks and fuzzy logic can be synergized to enhance trajectory tracking in mobile robots, offering a robust alternative to traditional control methods. While his citation count—2 for this key paper—reflects a niche but specialized impact, his research is valued for its practical approach to real-world robotic challenges. Spatti’s work is notable for its emphasis on hybrid intelligent systems, providing a foundation for students and researchers exploring adaptive control in robotics. His contributions highlight the potential of combining machine learning with fuzzy reasoning to solve complex motion control problems, making his research a useful reference for those entering the field of autonomous systems.