Fuzzy logic techniques for autonomous vehicle navigation

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In the past decade, significant work utilizing fuzzy logic for autonomous vehicle navigation has emerged, but it remains scattered across various publications in different research communities, making it difficult for newcomers and specialists to access. This fragmentation can lead researchers to inadvertently duplicate efforts without awareness of existing contributions. We believe that the research and applications of fuzzy logic in autonomous vehicle navigation have matured sufficiently to warrant a comprehensive compilation for a broader audience of practitioners, researchers, and students. Our goal is to gather representative works into a single volume that offers more than just a random collection of papers, providing added value through context and organization. To achieve this, we have focused on selecting contributions that address a diverse range of validated problems and solutions applicable to real robots. Moreover, we have structured the individual contributions within a clear framework that highlights the key challenges in autonomous robotics that fuzzy logic solutions aim to address. This approach ensures that readers can better understand the landscape of fuzzy logic applications in the field.