Honeywell Aerospace has completed two autonomous flight demonstrations, culminating in a collaborative intelligence, surveillance and reconnaissance mission conducted by two autonomous aircraft.
The flight demonstrations highlight the rapid integration and deployment of advanced autonomy capabilities through open architecture technologies. After beginning training on Shield AI’s Hivemind Enterprise platform in late April, Honeywell Aerospace engineers achieved the company’s first autonomous flight within six weeks.
The initial demonstration took place on July 8 in Plymouth, Minnesota, using a Honeywell Aerospace BFD-SE8 multirotor aircraft. The multirotor autonomously executed an entire planned flight profile, which included takeoff, route navigation, dynamic rerouting around an established no-fly zone, and an autonomous return to base.
Building on that milestone, engineers expanded the system’s capabilities by developing and deploying an artificial intelligence-based target detection and tracking model. The team built and validated the collaborative mission framework in simulation before proceeding to live flight trials in Minnesota and Arizona.
A subsequent demonstration near Phoenix on October 8 utilized two autonomous aircraft equipped with Honeywell Aerospace’s o480 inertial navigation system. During the mission, a scout aircraft employed onboard cameras and Honeywell’s AI model to detect, identify and track a target. The scout then autonomously transmitted target coordinates to the second aircraft, which navigated independently to the target area, executed its assigned task, and returned to base alongside the scout aircraft.
“Open architectures are changing the pace of innovation in aerospace, and this milestone demonstrates how Honeywell Aerospace can rapidly translate advanced autonomy into real-world capability,” said Todd Giles, Senior Vice President of Engineering and Chief Technology Officer, Honeywell Aerospace. “By combining our expertise in avionics, navigation, sensing and autonomy, we are helping create a scalable foundation for the next generation of autonomous aircraft and mission systems.”
The successful multi-platform mission demonstrates the integration of proprietary sensing, navigation and AI technologies within an open autonomy framework, accelerating development timelines for complex multi-aircraft operations. The initiative builds upon a July 2026 memorandum of understanding with Shield AI to develop an autonomy software stack using Hivemind Enterprise.
“Honeywell Aerospace engineers moved from initial training to autonomous flight in a matter of weeks,” said Tom Schaefer, Vice President of Hivemind Enterprise at Shield AI. “By leveraging Hivemind Enterprise for core autonomy functions, the team was able to focus its efforts on developing mission-specific capabilities, including its target detection and tracking models.”
Looking ahead, Honeywell Aerospace and Shield AI are exploring deeper integration between Hivemind and Honeywell’s avionics, navigation and sensing technologies, with planned applications across larger uncrewed aircraft platforms and commercial aviation.
