Drop by booth 4942 or
attend our workshop
At AUVSI XPONENTIAL 2023, we are featuring our leading-edge adaptive and collaborative autonomy products in the maritime, ground, air, and space domains. Attend our speaker sessions and workshops to learn how we’re building the blueprint for future autonomous systems.
Autonomy you can trust
Charles River Analytics is a pioneer in autonomy-enabling technologies, leveraging our 40-year history in advanced AI/ML R&D to develop today’s leading-edge adaptive and collaborative autonomy products and prototypes. Whether you’re an end user or an industry partner, come talk to us about your most challenging needs!
Our leading-edge collaborative and adaptive autonomy technologies turn uncrewed vehicles into trusted members of your human-machine team on the ground, at sea, in the air, and in space.
Our scientists and engineers combine their expertise in explainable AI, machine learning, neural networks, and computer vision to build a unified framework for future autonomous systems.
True, trusted autonomous systems require solving a multitude of interrelated problems. So we’ve built our expertise from the ground up, developing proof-of-concept demonstrations, highly capable prototypes, and innovative products for a wide range of autonomous applications.
We push the limits of autonomy by developing solutions that work in unpredictable, low-bandwidth environments. We transform human-in-the-loop systems to on-the-loop control and move single vehicle operations to heterogeneous swarms that can act and reason faster than intuition.
We integrate this diverse work into a unified autonomy framework guided by a simple idea:
True autonomy will only be adopted when it can earn our trust.
Perceiving what’s out there
Autonomous, adaptive navigation
With our onboard AI, an autonomous harbor vessel adapts its course and behaviors in response to its environment and potential threats to safely complete its mission. Behaviors are based on COLREGs and an in-depth analysis of expert harbor pilot decision making. In one test, integrating our autonomous behavior code shortened routes, increased standoff, and reduced near misses to zero.
Our dynamic routing and autonomous path planning, coupled with 3D perception and image-processing algorithms, power autonomous vehicle teams to navigate treacherous and cluttered environments to detect and classify marine life, navigate disaster areas, and localize nuclear threats in public spaces.
Our other capabilities can turn any kayak into an autonomous vehicle, allow a vehicle to self-geolocate, modify routes based on damage or fuel status, and navigate thermoclines to avoid comms disruptions.
Adapting to changes in the environment
Our onboard AI uses sensors and models to adapt tactics to ensure mission completion. Machine learning and probabilistic modeling make any software adaptable—allowing it to understand, learn, and adapt to changes in the environment and in the health and status of the uncrewed vehicle.
We use a bio-inspired approach to large swarm control, with deep learning so the swarm can discover and learn the most effective tactics for urban and other complex settings.
Collaborating and communicating with the team
We use probabilistic causal modeling techniques that generate simple explanations of how complex, deep learning machines work, helping humans develop trust in autonomy.
With our collaborative and adaptive autonomous swarm software, teams of robots can remove the injured from harm, classify marine life, and explore the moon, dividing tasks amongst themselves while anticipating and working around damage encountered by their robotic teammates.
We are proud to be part of the AUVSI community. AUVSI is the world’s largest nonprofit organization dedicated to the advancement of uncrewed systems, robotics, and autonomy.
Meet the team!
Principal Scientist and Director of Marine Systems
Director of Engineering and
Principal Software Engineer
Dr. Arjuna Balasuriya
Division Vice President
and Principal Scientist
Karen A. Harper
Senior Principal Scientist and President of
Charles River Analytics
Daniel W. Stouch
Principal Scientist and Director of Space and Airborne Systems
Principal Scientist and Director of UX Innovations
Supervisor and Engineer
Dr. Madison Clark-Turner
Scientist in Sensing, Perception,
and Applied Robotics
Software Engineer in Sensing, Perception,
and Applied Robotics