DATEM
Monitor health and status of critical systems with machine-learning technologies
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OUR CORE R&D / These systems range from individual
autonomous robotic platforms to large-scale, multi-agent systems
for information management, command & control
These systems range from individual autonomous robotic platforms to large-scale, multi-agent systems for information management, command & control
Monitor health and status of critical systems with machine-learning technologies
Software that enables UASs to safely conduct wildlife survey operations
A maintenance system that can predict the health and status of robotic combat vehicles
A system to explore cooperation and behavior allocation of autonomous teams
A small, inexpensive, and low-powered navigation system for unmanned vehicles without GPS
A system to survey, detect, and localize nuclear threats in challenging and dynamic public spaces
A system to detect and characterize natural disaster damage
A compact system for autonomously tracking and following
Adaptive Perception Behaviors (APB) for smart maritime cameras
An autonomous robot collaboration toolkit to keep combat medics safe
Real-time ortho-mosaics for maritime situational awareness and navigation
Onboard AI for uncrewed surface vehicles
A tool to help medics monitor patients, diagnose injuries, and provide treatment
A mixed reality application suite for space situational awareness
Autonomous system for detection and classification of ships and marine mammals
Autonomous learning applied to robotic swarm tactics
A system to track nuclear threats in urban environments
An infrastructure for increasing the resilience of US Navy Ships
A platform-independent, natural control and autonomy robot appliqué
A portable lightweight sensor platform
A system that detects and prevents cybersecurity breaches in military ground vehicles
A flexible, lightweight device dock that makes for safer operations and enhanced mobility
A compact system for autonomously tracking and following
An open source software package for multi-sensor fusion
A human-machine interface for unmanned ground vehicles
Supervisory HMI enabling practical autonomous robot direction
Swarm tactics to provide heterogeneous swarms of unlimited size with resilient swarm behavior in urban operations
Probabilistic Reasoning for System Components Onboard US Naval Vessels
A decoy to deter specific tortoise predator species
Probabilistic representation of intent commitments to ensure software survival
A framework for supervising unmanned vehicles
An interface for controlling robotic leader-follower systems
A maritime traffic awareness solution for an unmanned surface vessel
A compact system for autonomously tracking and following
