KWYN™ SIGMATE
A hands-on tool to enhance Radio Signaleer training
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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
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 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
A rapid human-computer interaction prototyping tool
A system using heterogeneous crowds for complex analysis problems
A systemic functional grammar application for design models
Avoiding malice with linguistics-inspired exploit testing
A weather and climate forecasting tool for mission planning
A framework of crowdsourcing tools for formal software verification
A tactical decision aid to generate UAS mission plans
Decision-support tools for ISR collection management
Visualization and collaboration tools for emergency response
