Mobile Robot Feature-Based SLAM Behavior Learning, and Navigation in Complex Spaces [chapter]

Ebrahim A. Mattar
2018 Applications of Mobile Robots [Working Title]  
Learning mobile robot space and navigation behavior, are essential requirements for improved navigation, in addition to gain much understanding about the navigation maps. This chapter presents mobile robots feature-based SLAM behavior learning, and navigation in complex spaces. Mobile intelligence has been based on blending a number of functionaries related to navigation, including learning SLAM map main features. To achieve this, the mobile system was built on diverse levels of intelligence,
more » ... is includes principle component analysis (PCA), neuro-fuzzy (NF) learning system as a classifier, and fuzzy rule based decision system (FRD).
doi:10.5772/intechopen.81195 fatcat:w4qvcalwera5rd7efa2rkjv5qy