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PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms

Meier, Lorenz, Honegger, Dominik, Pollefeys, Marc·2015·2015 IEEE International Conference on Robotics and Automation (ICRA)

Abstract

We present a novel, deeply embedded robotics middleware and programming environment. It uses a multithreaded, publish-subscribe design pattern and provides a Unix-like software interface for micro controller applications. We improve over the state of the art in deeply embedded open source systems by providing a modular and standards-oriented platform. Our system architecture is centered around a publish-subscribe object request broker on top of a POSIX application programming interface. This allows to reuse common Unix knowledge and experience, including a bash-like shell. We demonstrate with a vertical takeoff and landing (VTOL) use case that the system modularity is well suited for novel and experimental vehicle platforms. We also show how the system architecture allows a direct interface to ROS and to run individual processes either as native ROS nodes on Linux or nodes on the micro controller, maximizing interoperability. Our microcontroller-based execution environment has substantially lower latency and better hardware connectivity than a typical Robotics Linux system and is therefore well suited for fast, high rate control tasks.

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Metadata

Authors
Meier, L., Honegger, D., & Pollefeys, M.
Venue
2015 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
IEEE
Published
2015-05
Pages
6235-6240
ISSN
1050-4729 (ISSN-L)
OpenAlex
W1578294898
Cited by
753
References
0
FWCI
52.06
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms. https://app.cochat.ai/papers/10.1109/icra.2015.7140074
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Meier, L., Honegger, D., & Pollefeys, M. (2015). PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms. 2015 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2015.7140074

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.