The Future of Probabilistic Programming

Our team applies multidisciplinary methods to solve the most challenging problems in the knowledge and data fusion domains. Dr. Avi Pfeffer, our Chief Scientist, will deliver an invited keynote at the 22nd International Conference on Information Fusion 2019. Join Dr. Pfeffer at Fusion 2019 to learn how our scientists and engineers have pioneered probabilistic programming with Figaro™ and Scruff™.

Human-Machine Interfaces

The complexity of many robotic platforms makes them inherently difficult to operate, which can jeopardize the efficiency of your operation, or worse, the safety of your personnel. We leverage cutting edge technology to develop human-machine interfaces that seamlessly integrate robots into a human operator’s workflow. These natural interfaces fuse advanced speech, gestures, innovative computer vision, augmented reality, and smart devices with traditional robot control technologies. Visit us at AUVSI XPONENTIAL to learn more about on our HMI solutions!

Sensing and Perception

Robotic platforms that cannot autonomously adapt to dynamic surroundings are of limited use when carrying out complex missions—they can jeopardize mission success and endanger your personnel. Our sensing and perception components use data from a platform’s own sensor suite to enhance scene understanding through the use of advanced AI and machine-learning algorithms, including computer vision and natural language processing. Learn more at AUVSI XPONENTIAL!

Robot-To-Robot Coordination and Swarms

Poor coordination among teams of robots performing high-risk tasks—such as casualty extraction, scouting, and explosive device countermeasures—can endanger the personnel they are supposed to protect. We provide system components that ensure robots and swarms can leverage collective intelligence and robot-to-robot coordination to safely and efficiently achieve their objectives. Talk to us at AUVSI XPONENTIAL 2019 to learn more!

Autonomous Platforms

The ability of autonomous platforms to navigate and interact in previously unexperienced environments can lead to unintended behaviors that jeopardize mission success. Our robust autonomy algorithms and software combine low-level sensing and perception of dynamic environments with mission-level understanding and decision making so robots can operate in dynamic and uncertain environments. Ask us how our system components can complement your team at AUVSI XPONENTIAL!

Human Performance Monitoring Solutions

Organizations must know that trainees are ready to perform at a high level, especially in high-stress jobs. Learn how Dr. Bethany Bracken, our scientists, and our engineers have developed tools to measure and evaluate how well a trainee will perform when facing on-the-job pressures. See how we translate new AI medical technology ideas into actionable solutions!

Advanced Human Interfaces for Training

Implementation of the latest human interface technology for training applications can be challenging. Dr. Michael Jenkins, our scientists, and our engineers are developing software tools to facilitate skill development and muscle memory for critical physical tasks using augmented and virtual reality devices. Our multi-modal interfaces are empirically measured to effectively transfer knowledge to trainees and build their skills. Learn about our Advanced Human Interfaces for Training!

News and Events

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Work

Since 1983, we've developed a variety of custom intelligent systems for Government and commercial customers.

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People

Our talented and innovative employees are the key to our success. We are a 100% employee-owned company, encouraging employee participation, innovation, and responsibility.

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Careers

We take great pride in our success at attracting and retaining what are arguably the most talented and most creative problem-solvers in the field.

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Company

Charles River Analytics is a provider of innovative R&D solutions for increasingly complex and important human-systems challenges.

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Publications

Our scientists and software engineers frequently publish the results of their work in academic and industry journals.

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