![Photo of robotic combat vehicle (RCV) with and overlay illustrating the status of UAV, Lidar, Platform, and Right and Left Tracks. An inset in the foreground is a photo of operators inside the RCV](https://b3069131.smushcdn.com/3069131/wp-content/uploads/2023/02/RAPS-II-Contract-Announcement-574x369.jpg?lossy=1&strip=1&webp=1)
RAPS
An AI-based maintenance system that keeps robotic combat vehicles mission ready
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
Explainable AI (XAI) promotes trust by providing reasons for all system outputs—reasons that are accurate and human-understandable. Our XAI does more than provide correlation-based explanations of AI system outputs: it offers deep insight and causal understanding of the decision-making process.
An AI-based maintenance system that keeps robotic combat vehicles mission ready
A tool that strengthens trust in machine learning
Tools that make DRL agents understandable and trustable
Causal models to explain learning
A secure neural network that protects sensitive information