OUR CORE R&D / These systems range from individual

autonomous robotic platforms to large-scale, multi-agent systems

for information management, command & control

OUR CORE R&D

These systems range from individual  autonomous robotic platforms to large-scale, multi-agent systems  for information management, command & control

Optimization and Automated Planning

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Optimization and Automated Planning

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.

Related Projects:

DATEM

Monitor health and status of critical systems with machine-learning technologies

INTUIT

Role and task-tailored interfaces for mission planning

CANDID

CANDID

A system that detects and prevents cybersecurity breaches in military ground vehicles

DRIVE

A rapid human-computer interaction prototyping tool

CRISIS

A system using heterogeneous crowds for complex analysis problems

padlocks, green, abstract

GearCASE

A systemic functional grammar application for design models

HAMLET

Avoiding malice with linguistics-inspired exploit testing

COMPASS

A weather and climate forecasting tool for mission planning

CSFV

A framework of crowdsourcing tools for formal software verification

SPARTEN

A tactical decision aid to generate UAS mission plans

PERSEID

Decision-support tools for ISR collection management

PIECES

Visualization and collaboration tools for emergency response