Autonomy Icon AUTONOMY

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 autonomy applications, supported along the way by an engaged user community and sponsors through countless government programs. We integrate this diverse work into a unified autonomy framework and architecture, guided by a surprisingly simple idea:

True autonomy will only be adopted when it can earn our trust.

SHEPARD

SHEPARD uses smart devices—like a watch—for easy communication with military robots. We developed a context-sensitive control module that enables natural, reliable control of multiple platforms by fusing multi-modal inputs, such as voice and gestures, with operational context.
Image from Shepard Project from Charles River Analytics

SHEPARD

SHEPARD uses smart devices—like a watch—for easy communication with military robots. We developed a context-sensitive control module that enables natural, reliable control of multiple platforms by fusing multi-modal inputs, such as voice and gestures, with operational context.

LEARN MORE >

PSI-COACH

We are creating a Prescient, Socially Intelligent Coach (PSI-Coach) that can understand team behaviors and improve team performance. PSI-Coach is pushing the edge of foundational AI research by combining automated recognition of human mental states using symbolic- and sub-symbolic AI/machine learning to revolutionize the performance of human teams.

Image from ASIST Project from Charles River Analytics

PSI-COACH

We are creating a Prescient, Socially Intelligent Coach (PSI-Coach) that can understand team behaviors and improve team performance. PSI-Coach is pushing the edge of foundational AI research by combining automated recognition of human mental states using symbolic- and sub-symbolic AI/machine learning to revolutionize the performance of human teams.

LEARN MORE >

SATURN

Under DARPA’s Offensive Swarm Enabled Tactics (OFFSET) program, we developed SATURN, which gives heterogeneous swarms of unlimited size resilient behavior while achieving mission objectives.

Image from Saturn Project from Charles River Analytics

SATURN

Under the DARPA’s Offensive Swarm Enabled Tactics (OFFSET) program, we developed SATURN, which gives heterogeneous swarms of unlimited size resilient behavior while achieving mission objectives.

LEARN MORE >

BRACE

Working with sponsors from the Army’s Telemedicine & Advanced Technology Research Center (TATRC), we are using state-of-the-art perception technologies to support effective manipulation, navigation, maneuvering, and obstacle avoidance in varied operating conditions to help evacuate casualties from active battlefields.

Simulated image from BRACE Project from Charles River Analytics

BRACE

Working with sponsors from the Army’s Telemedicine & Advanced Technology Research Center (TATRC), we are using state-of-the-art perception technologies to support effective manipulation, navigation, maneuvering, and obstacle avoidance in varied operating conditions to help evacuate casualties from active battlefields.

LEARN MORE >

SPARTEN

SPARTEN uses an evolutionary algorithm–based multi-objective optimization algorithm to generate coordinated flight routes. These routes maximize coverage, avoid airspace conflicts between UAVs, minimize the latency of sensor data, maximize sensor performance, avoid audio detection from the ground, and avoid adverse weather effects.
Simulated image from SPARTEN Project from Charles River Analytics

SPARTEN

SPARTEN uses an evolutionary algorithm–based multi-objective optimization algorithm to generate coordinated flight routes. These routes maximize coverage, avoid airspace conflicts between UAVs, minimize the latency of sensor data, maximize sensor performance, avoid audio detection from the ground, and avoid adverse weather effects.

LEARN MORE >

AutoTRap Onboard™

Our AI-based object detection software that analyzes side scan sonar data, generating contact reports in real time, instead of in post-mission analysis. AutoTRap Onboard readily integrates onto the market-leading Teledyne Gavia line of autonomous underwater vehicles (AUVs), expanding their already impressive survey capabilities.
Image from AutoTRap OnBoard Project from Charles River Analytics.

AutoTRap Onboard™

our AI-based object detection software that analyzes side scan sonar data, generating contact reports in real time, instead of in post-mission analysis. AutoTRap Onboard readily integrates onto the market-leading Teledyne Gavia line of autonomous underwater vehicles (AUVs), expanding their already impressive survey capabilities.

LEARN MORE >

MERLIN

MERLIN explores a rich, complex, and unpredictable search space that describes the many possible forms a tactic can take and automatically optimize it to a wide range of mission goals. Under the MERLIN effort, we are augmenting OFFSET simulators to model swarm performance in a wide range of challenging urban environments as part of the OFFSET Program’s Fourth Swarm Sprint.
Image from Merlin Project from Charles River Analytics

MERLIN

MERLIN explores a rich, complex, and unpredictable search space that describes the many possible forms a tactic can take and automatically optimize it to a wide range of mission goals. Under the MERLIN effort, we are augmenting OFFSET simulators to model swarm performance in a wide range of challenging urban environments as part of the OFFSET Program’s Fourth Swarm Sprint.

LEARN MORE >

CROWSNEST

Charles River developed a sea traffic situation awareness component, called CROWSNEST, which uses multiple sensors to detect, classify, and track objects on the sea surface. Real-time results are based on data feeds provided by onboard electro-optical (EO) and infrared (IR) cameras. Detected ships are also classified into several classes, including sailboats and cargo ships, based on their visual appearance.

LEARN MORE >

Simulated image from CROWNSNEST Project from Charles River Analytics

CROWSNEST

Charles River developed a sea traffic situation awareness component, called CROWSNEST, which uses multiple sensors to detect, classify, and track objects on the sea surface. Real-time results are based on data feeds provided by onboard electro-optical (EO) and infrared (IR) cameras. Detected ships are also classified into several classes, including sailboats and cargo ships, based on their visual appearance.

LEARN MORE >

Our passion for science and engineering drives us to find impactful, actionable solutions.