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This article details a firmware extension for the PX4 autopilot system, enabling hybrid drones to execute unified missions across air and water surfaces. By integrating marine navigation modes directly into the standard mission pipeline, the framework allows for autonomous operation in aquatic environments while maintaining existing flight safety mechanisms. The research validates this capability through simulations demonstrating stable surface navigation under varying wave conditions.
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Custom PX4 firmware for autonomous hybrid aerial-marine missions

arXiv1 min read

arXiv:2609.20691v1 Announce Type: new Abstract: Mapping and monitoring aquatic environments can benefit from hybrid aerial-amphibious drones able to combine flight and water-surface navigation within the same mission. This paper presents a PX4 firmware extension for such platforms, introducing manual and autonomous marine navigation modes integrated with the standard PX4 mission pipeline and QGroundControl interface. The proposed framework preserves existing flight functionalities and safety mechanisms while enabling unified planning and execution of hybrid aerial-marine missions with differentiated aerial and marine waypoints. Simulated case studies validate the implementation and demonstrate stable surface navigation under calm and wavy conditions.

Abstract:Mapping and monitoring aquatic environments can benefit from hybrid aerial-amphibious drones able to combine flight and water-surface navigation within the same mission. This paper presents a PX4 firmware extension for such platforms, introducing manual and autonomous marine navigation modes integrated with the standard PX4 mission pipeline and QGroundControl interface. The proposed framework preserves existing flight functionalities and safety mechanisms while enabling unified planning and execution of hybrid aerial-marine missions with differentiated aerial and marine waypoints. Simulated case studies validate the implementation and demonstrate stable surface navigation under calm and wavy conditions.

Robotics (cs.RO)

arXiv:2609.20691 [cs.RO]

(or arXiv:2609.20691v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2609.20691 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 184 words

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