Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions

Aiming to promote the wide adoption of safety filters for autonomous aerial robots, this paper presents a safe control architecture designed for seamless integration into widely used open-source autopilots. Departing from methods that require consistent localization and mapping, we formalize the obstacle avoidance problem as a composite control barrier function constructed only from the online onboard range measurements. The proposed framework acts as a safety filter, modifying the acceleration references derived by the nominal position/velocity control loops, and is integrated into the PX4 autopilot stack. Experimental studies using a small multirotor aerial robot demonstrate the effectiveness and performance of the solution within dynamic maneuvering and unknown environments.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icuas65942.2025.11007827
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions

M. Nissov, Kostas Alexis, Martin Jacquet, Marvin Harms et al.
Robotic Path Planning Algorithms
article

Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions

M. Nissov, Kostas Alexis, Martin Jacquet, Marvin Harms, Nazar Misyats
article en

Abstract

Aiming to promote the wide adoption of safety filters for autonomous aerial robots, this paper presents a safe control architecture designed for seamless integration into widely used open-source autopilots. Departing from methods that require consistent localization and mapping, we formalize the obstacle avoidance problem as a composite control barrier function constructed only from the online onboard range measurements. The proposed framework acts as a safety filter, modifying the acceleration references derived by the nominal position/velocity control loops, and is integrated into the PX4 autopilot stack. Experimental studies using a small multirotor aerial robot demonstrate the effectiveness and performance of the solution within dynamic maneuvering and unknown environments.

Norwegian University of Science and Technology (NO), École Normale Supérieure de Rennes (FR)
Norges Forskningsråd
Affordable and clean energy
Openalex Percentile: Top 90%
Robotic Path Planning Algorithms
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Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions — M. Nissov, Kostas Alexis, et al. · (2025) | TGRS Research Map | TGRS