Ana Paula Abrantes de Castro

Instituto Nacional de Pesquisas Espaciais

Papers

Total Citations

H-Index

About

Ana Paula Abrantes de Castro is a researcher whose work lies at the intersection of autonomous systems, computational intelligence, and image-based navigation. Her most cited contribution, "Image based autonomous navigation with fuzzy logic control" (2002), introduces an adaptive framework where a mobile robot uses visual input to guide its movement through an environment. By employing fuzzy logic control, the system interprets image data to determine appropriate directional commands, enabling effective navigation without pre-mapped routes. This work, with 10 citations, represents an early and influential integration of computer vision and soft computing for robotics. Castro’s research addresses fundamental challenges in autonomous navigation, particularly in unstructured or dynamic settings where traditional methods fall short. Her approach demonstrates how fuzzy logic can handle the uncertainty inherent in real-world visual data, offering a robust alternative to purely geometric or probabilistic techniques. While her citation count reflects a focused niche, the conceptual clarity and practical relevance of her work continue to inform developments in intelligent robotics and autonomous vehicle guidance. For students and researchers exploring bio-inspired or adaptive control strategies, Castro’s contributions provide a valuable foundation for understanding how perception and decision-making can be seamlessly coupled in autonomous systems.