Autonomous aircraft
An aircraft that flies without human pilot or remote control.
An autonomous aircraft operates solely through its onboard robotic systems, requiring no human pilot or remote operator. Today, most such aircraft are drones running pre-programmed algorithms for specific tasks. However, advances in AI, including machine learning, are pushing autonomous control systems toward practical use, with several air taxi projects and related regulations now under development.
**History**
The first known use of an unmanned vehicle in warfare was a balloon carrier in July 1849, a forerunner to the aircraft carrier. Radio-controlled drones emerged in the early 1900s, initially as target practice for military training. The first powered UAV attempt was A. M. Low's "Aerial Target" in 1916. Autopilots and automated navigation developed over the twentieth century, though terrain contour matching (TERCOM) was largely used in cruise missiles. Before the Bayraktar Kızılelma, many modern drones had high autonomy but were not fully capable, and regulations barred their widespread civilian use. Limited trials did occur. On December 17, 2025, two Bayraktar Kızılelma drones made the world's first autonomous close-formation flight by unmanned fighter jets, using AI—the first time two UAVs flew in close formation on their own.
**Passengers**
As flight, navigation, and communications systems grew more advanced, carrying passengers became feasible. Autopilots now handle more tasks, but a human pilot is still required. Several air taxis are in development, and larger autonomous transports are planned. Personal air vehicles, carrying one to four passengers who are not expected to pilot, are seen as needing full autonomy for widespread adoption.
**Control System Architecture**
Aircraft computing evolved from analog controls to microcontrollers, then to system-on-a-chip (SOC) and single-board computers (SBC).
**Sensors**
Position and movement sensors track the aircraft's state. Exteroceptive sensors measure external data like distance; proprioceptive sensors link internal and external states. Degrees of freedom (DOF) describe sensor quality and quantity: 6 DOF includes a 3-axis gyroscope and accelerometer (an IMU); 9 DOF adds a compass; 10 DOF adds a barometer; 11 DOF usually adds a GPS receiver.
- Earliest recorded use
- July 1849, as a balloon carrier
- First powered uav attempt
- 1916, A. M. Low's 'Aerial Target'
- First autonomous close-formation flight
- December 17, 2025, Bayraktar Kızılelma
- Low-layer loop rate
- up to 32,000 times per second (as of 2016)
Lore & Background
The earliest recorded use of an unmanned aerial vehicle for warfighting occurred in July 1849, serving as a balloon carrier. Significant development of radio-controlled drones started in the early 1900s, originally focusing on providing practice targets for training military personnel. The earliest attempt at a powered UAV was A. M. Low's 'Aerial Target' in 1916. Autonomous features such as the autopilot and automated navigation were developed progressively through the twentieth century, although techniques like terrain contour matching were applied mainly to cruise missiles. Before the introduction of the Bayraktar Kızılelma, some modern drones had a high degree of autonomy, though they were not fully capable and the regulatory environment prohibited their widespread use in civil aviation. On December 17, 2025, two Bayraktar Kızılelma performed the world's first autonomous close-formation flight by two unmanned fighter jets, using artificial intelligence.
Autonomous aircraft employ open-loop, closed-loop, or hybrid control architectures. One way to achieve autonomous control uses multiple control-loop layers, as in hierarchical control systems. As of 2016, low-layer loops for flight control tick as fast as 32,000 times per second, while higher-level loops may cycle once per second. The most common control mechanism used in these layers is the PID controller, which can achieve hover for a quadcopter by using data from the IMU to calculate precise inputs for electronic speed controllers and motors. Basic autonomy comes from proprioceptive sensors, while advanced autonomy calls for situational awareness from exteroceptive sensors and sensor fusion. Civil aviation regulators and standards bodies have published high-level roadmaps focused on assurance, safety, and governance of AI-enabled systems in aviation.
Reader's Guide
The significance of autonomous aircraft lies in their progression from early military targets to advanced AI-driven systems capable of complex maneuvers without human intervention. The article highlights that while many modern drones have high autonomy, full capability and regulatory approval for civil aviation remain limited. The Bayraktar Kızılelma's autonomous close-formation flight in December 2025 marks a milestone, demonstrating that artificial intelligence can enable two unmanned fighter jets to fly in close formation on their own for the first time in aviation history. This event underscores the growing role of AI in achieving advanced autonomous operations. The development of air taxis and larger autonomous transports, as well as personal air vehicles, depends on autonomy for widespread adoption, as passengers are not expected to pilot these aircraft. The article also notes that open-source software stacks, such as those forked from CleanFlight and BaseFlight, allow customization for specific applications, fostering collaborative innovation. The use of hierarchical control systems, with loops operating at up to 32,000 times per second, illustrates the technical complexity required for stable autonomous flight. Overall, autonomous aircraft represent a shift from remote-controlled drones to systems that can independently perform tasks, with implications for military, civil, and commercial aviation.
Did You Know?
- The earliest recorded use of an unmanned aerial vehicle for warfighting was in July 1849, as a balloon carrier.
- Low-layer control loops in autonomous aircraft can tick as fast as 32,000 times per second.
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