Occupancy Grid-Based SLAM Using a Mobile Robot with a Ring of Eight Sonar Transducers
The degree of accuracy by which a mobile robot can estimate the properties of its surrounding environment, and the ability to successfully navigate throughout the explored space are the main factors that may well determine its autonomy and efficiency with respect to the goals of the application. This paper focuses on the implementation of a SLAM framework comprising a planner, a percept and a displacement/angular error estimator using a regular occupancy grid spatial memory representation.
KeywordsMobile Robot Finite State Machine Markov Random Field Occupancy Grid Motion Primitive
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