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Journal Article

Citation

González-Morgado A, Ollero A, Heredia G, Marques L, Santos C, Lima JL, Tardioli D, Ferre M. Lect. Notes Netw. Syst. 2024; 978: 14-25.

Copyright

(Copyright © 2024, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/978-3-031-59167-9_2

PMID

unavailable

Abstract

Robot 2023: Sixth Iberian Robotics Conference

Similar to the Control Lyapunov Functions (CLFs), whose objective is to achieve the stability of a system, Control Barrier Functions (CBFs) aim to achieve the safety of a system. They serve as a safety filter that guarantees that the system remains in a defined safety region. This article aims at presenting an introductory overview of the theoretical framework of CBFs and of their application. For doing this, we apply the CBFs framework as a safety filter for obstacle avoidance in the XY movement of a multirotor. The safety filter is designed using two different multirotor models, a single integrator model without considering the inertia of the system and a first-order model that captures the dynamics of a velocity control loop. The proposed safety framework is validated with simulations in Matlab and experiments with indoor flights. The results show the importance of correctly modeling the system.


Language: en

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