Our leading-edge collaborative and adaptive autonomy technologies turn uncrewed vehicles into trusted members of your human-machine team on the ground, at sea, in the air, and in space. Our scientists and engineers combine their expertise in explainable AI, machine learning, neural networks, and computer vision to build a unified framework for future autonomous systems.
For surface vessels, the Awarion® Autonomous Lookout System detects obstacles, ships, and marine mammals, providing real-time decision-making capabilities. AI-driven navigation improves safety and efficiency in crowded harbors and open water.
Subsea vehicles benefit from solutions like AutoTRap Onboard®, which detects and classifies underwater objects in real time. Adaptive systems enable self-geolocation, route adjustments, and navigation through challenging conditions such as thermoclines.
In aerial operations, bio-inspired swarm control enables large groups of drones to collaborate effectively in complex environments. These systems are trained for disaster assessment, marine mammal classification, and nuclear threat detection, offering user-friendly interfaces for quick deployment.
Across all domains, Charles River Analytics integrates explainable AI and machine learning, providing systems that adapt to their environments and clearly communicate decisions.
