Energy-efficient Newton-based nonholonomic motion planning

Abstract

A modification of the Newton algorithm applied to nonholonomic motion planning is presented. The energy optimization is performed by optimizing motion in the null space of the Jacobian matrix derived from the nonholonomic system. Resulting controls are smooth and easy to generate for motors or thrusters. The method can be used to steer free-floating objects as well as mobile robots.