Safe Quadrotor Navigation using Composite Control Barrier Functions

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Harms, Marvin, Jacquet, Martin, Alexis, Kostas
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866915141560303616
author Harms, Marvin
Jacquet, Martin
Alexis, Kostas
author_facet Harms, Marvin
Jacquet, Martin
Alexis, Kostas
contents This paper introduces a safety filter to ensure collision avoidance for multirotor aerial robots. The proposed formalism leverages a single Composite Control Barrier Function from all position constraints acting on a third-order nonlinear representation of the robot's dynamics. We analyze the recursive feasibility of the safety filter under the composite constraint and demonstrate that the infeasible set is negligible. The proposed method allows computational scalability against thousands of constraints and, thus, complex scenes with numerous obstacles. We experimentally demonstrate its ability to guarantee the safety of a quadrotor with an onboard LiDAR, operating in both indoor and outdoor cluttered environments against both naive and adversarial nominal policies.
format Preprint
id arxiv_https___arxiv_org_abs_2502_04101
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Safe Quadrotor Navigation using Composite Control Barrier Functions
Harms, Marvin
Jacquet, Martin
Alexis, Kostas
Robotics
This paper introduces a safety filter to ensure collision avoidance for multirotor aerial robots. The proposed formalism leverages a single Composite Control Barrier Function from all position constraints acting on a third-order nonlinear representation of the robot's dynamics. We analyze the recursive feasibility of the safety filter under the composite constraint and demonstrate that the infeasible set is negligible. The proposed method allows computational scalability against thousands of constraints and, thus, complex scenes with numerous obstacles. We experimentally demonstrate its ability to guarantee the safety of a quadrotor with an onboard LiDAR, operating in both indoor and outdoor cluttered environments against both naive and adversarial nominal policies.
title Safe Quadrotor Navigation using Composite Control Barrier Functions
topic Robotics
url https://arxiv.org/abs/2502.04101