Lagrangian Jacobian inverse for nonholonomic robotic systems

Abstract

The motion planning problem for nonholonomic robotic systems is studied using the continuation method and the optimization paradigms. A new Jacobian motion planning algorithm is derived, based on a solution of the Lagrange-type optimization problem addressed in the linear approximation of the system. Performance of the new algorithm is illustrated by numeric computations performed for the unicycle robot kinematics.