THE RESEARCH NOTEBOOK
A view of our broad research interests in software, AI, and autonomous systems, alongside selected public examples.
7 research programmes
SIMULATION / TRAINING / CONTROL
A research prototype exploring simulation and operator learning. The website shows a static screenshot preview; access to the simulator is by invitation only.
A preview of our simulation research. Contact us to enquire about an invitation; detailed capabilities and development plans remain confidential.
SOFTWARE / ROBOTICS / CONNECTED SYSTEMS
Research into software for robotics, autonomous vehicles, and other complex systems.
We explore the role of software in making technology useful, dependable, and easier to work with.
COMPUTER VISION / IMAGING / AUTONOMY
Exploring how machines interpret their surroundings. Work spans computer vision, imaging, scene understanding, and assistance for vehicle operators.
Our interests include the practical application of artificial intelligence to software, vehicles, and human-machine interaction.
AUTONOMOUS VEHICLES / MARINE SYSTEMS
An Endless Loop research brand focused on autonomous vehicle technology.
RobotCrew is a public part of our autonomous-systems research history. Its website introduces the brand and its general focus.
FIXED-WING DESIGN / AERIAL & MARINE SYSTEMS
Novel fixed-wing aircraft design research, alongside broader exploration of aerial and marine systems.
We investigate new possibilities in vehicle design and their potential applications. These are broad research interests, not announcements of specific products.
COMMUNICATIONS / ENERGY / HUMAN-MACHINE INTERACTION
Autonomy depends on more than the vehicle. We investigate communications, power management, and the tools that connect people with machines.
Our broader interests include communications, energy systems, and human-machine interaction.
RADAR / DETECTION / AIRSPACE AWARENESS
Prototype research into radar-based detection and tracking of small uncrewed aircraft, with an emphasis on useful early awareness.
A 45 km nominal radar range provides the context; useful detection distances depend on radar cross section and conditions. Explore indicative estimates and the challenges behind them.
Much of our R&D is confidential. We share broad areas of interest here, alongside selected public examples of our work.
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