RAPS
A maintenance system that can predict the health and status of robotic combat vehicles
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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
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.
A maintenance system that can predict the health and status of robotic combat vehicles
A tool that strengthens trust in machine learning
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Causal models to explain learning
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