Charles River Analytics
Charles River Analytics is dedicated to developing human-centered intelligent systems that enhance military performance, ensure homeland security, and transform healthcare through advanced technology. With a strong focus on AI, robotics, and human-centered computing, the company aims to solve complex challenges faced by government and commercial sectors. The company also emphasizes its commitment to corporate social responsibility, employee ownership, and innovative training solutions.
Industries
N/A
Nr. of Employees
small (1-50)
Charles River Analytics
Awards
Multi-Topic Prototype Project - U.S. Army Medical Research and Materiel Command (USAMRMC) Multitopic
Mobile System for Trauma Assessment Training (MSTAT)
Funding (ceiling)
$949,995
Award Year
2020
Patents
Monocular visual-inertial alignment for scaled distance estimation on mobile devices
2022-06-28 • US-11372017-B2
View DetailsCyber vaccine and predictive-malware-defense methods and systems
2020-11-24 • US-10848519-B2
View Details
Monocular visual-inertial alignment for scaled distance estimation on mobile devices
2022-06-28 • US-11372017-B2
View DetailsCyber vaccine and predictive-malware-defense methods and systems
2020-11-24 • US-10848519-B2
View DetailsProducts
Adaptive AI training engine and platform
An AI-enabled training engine that provides real-time mission support, intelligent help, performance tracking, adaptive scenario sequencing, and after-action review for simulation and mixed-reality training.
Extended reality development SDK
Open-source XR SDK and toolkit for prototyping and deploying AR/VR/MR experiences with modular, device-agnostic components and engine integrations.
Maritime computer-vision collision-avoidance software
Computer-vision software that analyzes EO/IR video to detect and classify vessels, marine mammals, and obstacles to support lookout augmentation and collision avoidance.
Clinical informatics integration tool
Informatics software to integrate patient assessment data, wearable inputs, and care-plan workflows to streamline clinical operations and research data capture.
Robotic medical triage prototype
Robotic prototype to assist medics during mass-casualty incidents by remotely identifying, assessing, and supporting triage operations using multimodal sensors and a manipulator.
Unmanned underwater vehicle hardware and launch/recovery prototypes
Design and integration of unmanned-underwater-vehicle hardware, pressure-tolerant housings, and launch/recovery support systems for autonomous underwater operations.
Adaptive AI training engine and platform
An AI-enabled training engine that provides real-time mission support, intelligent help, performance tracking, adaptive scenario sequencing, and after-action review for simulation and mixed-reality training.
Extended reality development SDK
Open-source XR SDK and toolkit for prototyping and deploying AR/VR/MR experiences with modular, device-agnostic components and engine integrations.
Maritime computer-vision collision-avoidance software
Computer-vision software that analyzes EO/IR video to detect and classify vessels, marine mammals, and obstacles to support lookout augmentation and collision avoidance.
Clinical informatics integration tool
Informatics software to integrate patient assessment data, wearable inputs, and care-plan workflows to streamline clinical operations and research data capture.
Robotic medical triage prototype
Robotic prototype to assist medics during mass-casualty incidents by remotely identifying, assessing, and supporting triage operations using multimodal sensors and a manipulator.
Unmanned underwater vehicle hardware and launch/recovery prototypes
Design and integration of unmanned-underwater-vehicle hardware, pressure-tolerant housings, and launch/recovery support systems for autonomous underwater operations.
Expertise Areas
- Adaptive and AI-driven training systems
- Extended reality (XR) development and SDKs
- Computer vision and multi-sensor perception
- Robotics autonomy and swarm coordination
Key Technologies
- Probabilistic programming
- Explainable AI and human-centered AI
- Hybrid AI (symbolic, probabilistic, deep learning)
- Reinforcement learning and meta-learning
Key People
Mr. Richard Wronski
Vice President, Sensing, Perception, and Applied Robotics; Principal Scientist
LinkedIn
Mr. Richard Wronski
Vice President, Sensing, Perception, and Applied Robotics; Principal Scientist
LinkedInFeatured In Technology Showcase
Mobile System for Trauma Assessment Training (MSTAT)
Charles River Analytics is developing MSTAT, a mobile trauma assessment training app that uses virtual patients to provide accessible, realistic, and TCCC-guided practice for military medical personnel.
News & Updates
An invitation to participate in the I/ITSEC 2024 event.
Join us at the Society for Simulation in Healthcare event.
An interview discussing the impact of technology on society.
Contracts awarded to facilitate faster processing of challenging semantics in Army intelligence documents.
An article discussing the use of social robotics to support Alzheimer's patients.
A grant awarded to enhance training for first responders during the pandemic.
An invitation to participate in the I/ITSEC 2024 event.
Join us at the Society for Simulation in Healthcare event.
An interview discussing the impact of technology on society.
Contracts awarded to facilitate faster processing of challenging semantics in Army intelligence documents.
An article discussing the use of social robotics to support Alzheimer's patients.
A grant awarded to enhance training for first responders during the pandemic.