ROSplane 2.0: A Fixed-Wing Autopilot for Research

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Authors: Ian Reid, J. W. K. Ritchie, Jacob Moore, Brandon R. Sutherland, Gabe Snow, P. T. Tokumaru, Timothy W. McLain
Cited by: 0
References: 15

Abstract

Unmanned aerial vehicle (UAV) research requires the integration of cutting-edge technology into existing autopilot frameworks. This process can be arduous, requiring extensive resources, time, and detailed knowledge of the existing system. ROSplane is a lean, open-source fixed-wing autonomy stack built by researchers for researchers. It is designed to accelerate research by providing clearly defined interfaces with an easily modifiable framework. Built around ROS 2, ROSplane allows for rapid integration of low or high-level control, path planning, or estimation algorithms. A focus on lean, easily-understood code and extensive documentation lowers the barrier to entry for researchers. Recent developments to ROSplane improve its capacity to accelerate UAV research, including the transition from ROS 1 to ROS 2, enhanced estimation and control algorithms, increased modularity, and an improved aerodynamic modeling pipeline. This aerodynamic modeling pipeline significantly reduces the effort of transitioning from simulation to real-world testing without requiring costly system identification or computational fluid dynamics tools. ROSplane's architecture reduces the effort required to integrate new research tools and methods, expediting hardware experimentation.

Fields of Study & Subjects

Simulation Techniques and Applications

Publication details

Journal / source
2026 International Conference on Unmanned Aircraft Systems (ICUAS)
Publisher
IEEE
Pages
1252–1259
Publication date
15 June 2026
Language
EN