Nonholonomic Robot Parking by Feedback -- Part I: Modular Strict CLF Designs
Velimir Todorovski, Kwang Hak Kim, Alessandro Astolfi, Miroslav Krstic
TL;DR
This paper presents a modular framework for globally stabilizing the nonholonomic unicycle parking problem in polar coordinates by decoupling radial distance control (via forward velocity) from steering control. It develops four design families—passivity-based, forwardings (integrator forwarding), and backstepping—each paired with strict, barrier-enforced CLFs that yield explicit convergence rates and enable eigenvalue assignment. The framework is demonstrated across multiple state-space constraints, with barrier CLFs ensuring avoidance of angular wind-up and front-line crossing, while preserving global asymptotic stability in the polar coordinates and attractivity in Cartesian coordinates. The modular composite-CLF approach lays the groundwork for future inverse-optimal and adaptive re-designs (Part II).
Abstract
It has been known in the robotics literature since about 1995 that, in polar coordinates, the nonholonomic unicycle is asymptotically stabilizable by smooth feedback, even globally. We introduce a modular design framework that selects the forward velocity to decouple the radial coordinate, allowing the steering subsystem to be stabilized independently. Within this structure, we develop families of feedback laws using passivity, backstepping, and integrator forwarding. Each law is accompanied by a strict control Lyapunov function, including barrier variants that enforce angular constraints. These strict CLFs provide constructive class KL convergence estimates and enable eigenvalue assignment at the target equilibrium. The framework generalizes and extends prior modular and nonmodular approaches, while preparing the ground for inverse optimal and adaptive redesigns in the sequel paper.
