Autonomous Systems. Real-World Impact.

Our patented approach for the systematic management of earned trust is based on repeatable, episodic encounters where machines must coordinate movements and actions. It’s secured by a decentralized distributed ledger solution to improve safety, efficiency and cybersecurity.

For collaborative systems to accomplish complex tasks efficiently and resiliently, groups of autonomous machines need to communicate, coordinate and cooperate instantly and seamlessly. Noblis’ research drives better adaptation to dynamic environments and increased scale of cooperation across applications like surveillance, exploration and defense operations.

As humans increasingly share space with autonomous machines, Noblis designs ways to increase trust, ensuring that interactions happen within expected parameters and reducing unnecessary negotiation to build safety for all.

Noblis’ technologies orchestrate the motions and actions of unfamiliar, connected and autonomous machines, making systems safer, more productive and more equitable. This interoperability permits a level of coordinated action that otherwise would be impossible without advanced knowledge of all the localized actions.

Autonomous systems that combine data from various sensors – such as cameras, LiDAR, radar, thermal and GPS – can build a more comprehensive and accurate understanding of their environment. Noblis’ multi-sensor integration work enhances robustness and situational awareness to allow systems to thrive in complex, dynamic or degraded conditions.

Crucial missions in unpredictable environments rely on resilient autonomous systems. Our research empowers both individual and collaborative systems to not only endure but also bounce back from failures. This ensures mission success in demanding settings like space, battlefields and other challenging operational environments.