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Cybflight represents a significant methodological advance in aerial robotics by demonstrating that high-performance, nonlinear control algorithms can run entirely on a single flight-controller microcontroller using Rust. This approach eliminates the need for companion computers or rebuilding mature autopilots, thereby preserving a modular software architecture while achieving speeds of 31.4 m/s outdoors. The work highlights how typed interfaces and compile-time optimization enable robust state estimation and trajectory planning directly on embedded hardware.
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Cybflight: An Embedded Rust Autopilot for Aerial Robotics Research

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arXiv:2609.31232v1 Announce Type: new Abstract: Bringing an aerial robotics method from simulation to flight should not require rebuilding a mature autopilot or adding a companion computer. Cybflight is an open-source embedded Rust research autopilot whose typed, replaceable interfaces connect hardware access, perception, state estimation, trajectory planning, and control. This modular development and compile-time optimization workflow is demonstrated with replaceable Rust implementations of model predictive contour-tracking control (MPCTC) and incremental nonlinear dynamic inversion (INDI) running on one STM32H743 without a companion computer. Using this configuration, the vehicle reaches 12.38 m/s during indoor flight, while an outdoor flight using global navigation satellite system (GNSS) position updates reaches 31.4 m/s. These flights show that running demanding estimation and nonlinear control entirely on a flight-controller microcontroller need not come at the expense of a modular autopilot structure.

Abstract:Bringing an aerial robotics method from simulation to flight should not require rebuilding a mature autopilot or adding a companion computer. Cybflight is an open-source embedded Rust research autopilot whose typed, replaceable interfaces connect hardware access, perception, state estimation, trajectory planning, and control. This modular development and compile-time optimization workflow is demonstrated with replaceable Rust implementations of model predictive contour-tracking control (MPCTC) and incremental nonlinear dynamic inversion (INDI) running on one STM32H743 without a companion computer. Using this configuration, the vehicle reaches 12.38 m/s during indoor flight, while an outdoor flight using global navigation satellite system (GNSS) position updates reaches 31.4 m/s. These flights show that running demanding estimation and nonlinear control entirely on a flight-controller microcontroller need not come at the expense of a modular autopilot structure.

Robotics (cs.RO)

arXiv:2609.31232 [cs.RO]

(or arXiv:2609.31232v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2609.31232 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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