Vision-based adaptive tracking control of uncertain nonholonomic mobile robots

This paper considers vision-based adaptive tracking control of uncertain nonholonomic mobile robots. Due to nonholonomic constraint and lack of one dimensional information, this tracking problem becomes more challenging. With the employment of the backstepping technique, globally asymptotic convergence of the tracking errors can be established. Besides, no a priori knowledge is required on the bound of uncertain parameters.