Sensing Under Uncertainty For Mobile Robots

In this work we present a control strategy under uncertainty for mobile robot navigation. In par-ticular, we implement a server-client model, where the server executes the commands and the clients run in parallel, each performing its tasks. Tolerance analysis is performed to incorporate sensing un-certainties into the proposed model. The sensory system is depicted with a framework that allows different levels of data representation, based on the robust modeling of the sensing uncertainties