Autopilot software development for unmanned aerial vehicle systems

Manoharan, Amith

Abstract

The goal of the project is to create advanced and reliable autopilot software for unmanned aerial vehicles that can adapt to different environments, solve complex scenarios and ensure the safety of the aircraft itself and its surroundings. Using real-time data fusion, optimal control algorithms, and adaptive learning mechanisms, we develop autopilot systems with high autonomy and responsiveness that enable better integration of unmanned aerial vehicles into urban environments.

Full Text

The choice of fixed-wing aircraft with customizable advanced autonomy is now almost non-existent, especially compared to multi-rotor UAVs. Most of the research labs working in this field rely on their in-house developed prototypes, leaving a large gap in the market for advanced fixed-wing aircraft systems. The project aims to fill these gaps and develop not only a compact hardware platform, but also equip it with advanced autonomy so that it can be used by non-experts as well. The broader goal of this project is to pioneer the development of autonomous solutions for unmanned aerial systems (UAS), which include fixed-wing aircraft, multirotors and others. As a result of the project's activities, a ready-to-implement hardware and software package is completed, which supports ROS (Robot Operating System) and multi-agent systems (MAS) for drone fleet control.

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