Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Publication
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
An improvement over classical dynamic feedback linearization for the control of a nonholonomic mobile robot is proposed. The use of a state extension of higher dimension than in the case of dynamic feedback linearization helps reject constant disturbances on the rotational axis of the robot. The proposed dynamic extension acts as a velocity scheduler for the robot. It specifies at each time instant the ideal translational velocity that the robot should have. By having a two-dimensional state extension, both the magnitude and the orientation of the velocity vector can be generated, which accounts for improved robustness.