English

From Bundles to Backstepping: Geometric Control Barrier Functions for Safety-Critical Control on Manifolds

Systems and Control 2025-10-24 v1 Systems and Control Optimization and Control

Abstract

Control barrier functions (CBFs) have a well-established theory in Euclidean spaces, yet still lack general formulations and constructive synthesis tools for systems evolving on manifolds common in robotics and aerospace applications. In this paper, we develop a general theory of geometric CBFs on bundles and, for control-affine systems, recover the standard optimization-based CBF controllers and their smooth analogues. Then, by generalizing kinetic energy-based CBF backstepping to Riemannian manifolds, we provide a constructive CBF synthesis technique for geometric mechanical systems, as well as easily verifiable conditions under which it succeeds. Further, this technique utilizes mechanical structure to avoid computations on higher-order tangent bundles. We demonstrate its application to an underactuated satellite on SO(3).

Keywords

Cite

@article{arxiv.2510.20202,
  title  = {From Bundles to Backstepping: Geometric Control Barrier Functions for Safety-Critical Control on Manifolds},
  author = {Massimiliano de Sa and Pio Ong and Aaron D. Ames},
  journal= {arXiv preprint arXiv:2510.20202},
  year   = {2025}
}

Comments

8 pages, 3 figures, Submitted to American Control Conference (ACC) 2026