PLATO
A personalized learning assistant that tailors training to match available resources
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
Optimizing actions and plans is a key feature of decision-support tools, especially when decision makers have multiple goals. At Charles River, we help our customers face the challenge of creating multi-step plans that adapt to the real world. We use a variety of algorithms, including genetic/evolutionary algorithms, market-based negotiation algorithms, neural networks, and ant-colony optimization, to develop tools for optimization and automated planning. By integrating these algorithms with our expertise in designing human-computer interfaces, we create solutions that not only generate effective and efficient plans but also help decision makers understand their options and the potential tradeoffs.
A personalized learning assistant that tailors training to match available resources
An AI-based mission planning framework for Navy operations
A tool integrating hierarchical protocols with command-and-control of uncrewed systems
AI enhanced design collaboration for human creativity while mitigating bias
A hands-on tool to enhance Radio Signaleer training
Monitor health and status of critical systems with machine-learning technologies
Onboard AI for uncrewed surface vehicles
A tool to prioritize data collection
Role and task-tailored interfaces for mission planning
A system that detects and prevents cybersecurity breaches in military ground vehicles