How We Deliver: Transformative Autonomous Machines
Noblis seamlessly integrates unmanned vehicles and autonomous machines in the spaces they share with each other – and with humans.
Autonomous System Testing, Evaluation, Verification and Validation
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.
Collaborative Multi-Agent Systems and Swarm Autonomy
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.
Human-Machine Trust Engineering
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.
Orchestrated Autonomy Solutions
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.
Multi-Sensor Perception Systems
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.
Resilient and Fault-Tolerant Autonomy Research
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.
Research Highlights
Find out how Noblis reinvests in mission-driven research for the public good.
Depot Autonomy
Applying its breakthrough Orchestrated Autonomy technology, Noblis is collaborating with the University of Michigan’s Mcity research hub to solve autonomous vehicle gridlock in depot and marshalling yard environments. This research applies collective path planning innovations to enable safer, smoother operations even when numerous independent autonomous vehicles must navigate shared spaces under high-demand conditions.
Advanced Space Tracking Technology Project
In collaboration with Scout Space, Noblis is building novel ways to collect data and develop key algorithms optimized to revolutionize space object tracking. Our advanced algorithmic processing applied to novel event camera technology that can detect individual photons enables tracking of fast-moving objects in stark light conditions, powering revolutionary situational awareness for orbiting satellites.
Edge Case Testing
Noblis is applying artificial intelligence to create challenging tests for autonomous vehicles. Combining LLM and image generation AI to produce unusual road situations, we can measure how well detection systems identify objects in these outlier scenarios. This approach efficiently generates realistic, accurate and comprehensive safety validation data without the high cost of creating these rare scenarios in real life.
Earned Trust Framework for Autonomous Lunar Exploration
Noblis’ Autonomous Systems Research Center aims to apply its trust engineering and Orchestrated Autonomy innovations to space solutions with an Earned Trust Framework for lunar exploration. This Moon-based initiative will develop technologies to empower ad-hoc teams of autonomous rovers to safely search a designated area and map lunar surface hazards with minimal human oversight.
Why Noblis?
Complex challenges arise as autonomous machines are integrated into mainstream operations. Noblis leads with solutions that build machine-human trust, optimize machine-machine orchestration and evaluate unmanned vehicle system solutions that will empower federal agencies to meet these challenges.
Orchestrated Autonomy and Unmanned Vehicle Cooperation
Noblis orchestrated autonomy integrates the motions and actions of unfamiliar, connected unmanned vehicles and autonomous machines, making these systems safer, more productive and more equitable.
Patent: Autonomous Machine Coordination System
Noblis’ patent for a system for collectively optimizing cooperative actions among autonomous connected machines allows ad hoc collections of nearby machines to independently plan motion paths and earn trust from other machines by consistently carrying out those plans.
Article: Navy’s Program for Unmanned Surface Vessels
Among the more daunting scientific and engineering challenges in the government is the development of Navy vessels that operate without a crew on board. Neither drones nor autonomous ships, unmanned surface vessels (USVs), will form an important part of the Navy’s strategy of expanding its fleet in a way that’s lower cost, relative to manned ships, and more agile.
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