The trajectory tracking problem for a wheeled mobile robot is addressed and solved by means of a partial state feedback strategy based on measurements from an indoor vision based absolute positioning system. The Cartesian coordinates provided by the localization system are fed to the proposed observer in order to estimate the orientation of the vehicle. It is shown that the combination of a classical dynamic full information controller with an asymptotically convergent vehicle attitude observer, designed using the immersion and invariance technique, yields a locally asymptotically stable closed-loop system. Real time experiments show the performance of the proposed control scheme.

In this work, it is presented a discrete time control strategy for the solution of the path-tracking problem for a wheeled mobile robot of the type (2,0). It is assumed that the mobile robot is remotely controlled over a communication network that induces a transport delay. The exact discrete-time model of the mobile robot including the induced delay is developed. It is presented a discrete-time strategy control based on a sliding mode approach that allows to solve the path-tracking problem. The closed loop stability of the overall system is clearly stated. The proposed control strategy is evaluated by mean of computer simulation