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Indoor robot localization systems using wireless signal measurements have gained popularity in recent years, as wireless Local Area Networks can be found practically everywhere. In this field, a popular approach is the use of fingerprinting techniques, such as Gaussian Processes. In our approach, we improve Gaussian Processes based mapping using path loss models as priors. Path loss models encode...
Gaussian Processes have been previously used to model wireless signals strength for its use as sensory input for robot localization. The standard Gaussian Process formulation assumes that the outputs are corrupted by identically independently distributed Gaussian noise. Even though, in general, wireless signals strength do not have homogeneous noise variance. If enough data samples are collected,...
An automated diagnosis methodology is necessary for the maintenance of superannuated social infrastructures. In this context, the hammering test is an efficient inspection method, and it has been widely used because of the resulting accuracy and efficiency of operation. While robotic automation of the hammering inspection method is highly desirable, the development of an automatic diagnostic algorithm...
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