Sensing under Uncertainty for Mobile Robots

In this work we present a control strategy under uncertainty for mobile robot navigation. In particular, 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 uncertainties 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.