The world's largest tradeshow for unmanned and autonomous systems is going virtual May 3-6
Charles River Analytics, developer of intelligent systems solutions, will showcase our developments in applied robotics and artificial intelligence (AI) from a virtual booth at AUVSI XPONENTIAL 2021 – the world’s largest tradeshow for unmanned autonomous systems. AUVSI hosts professionals from more than 60 countries, representing industry, government, and academia.
Autonomy You Can Trust
Our scientists and engineers combine their experience on applications in varied domains to build a unified framework and architecture for future autonomous systems.
Wondering how to make autonomy work in complex, unpredictable operational environments with intermittent, limited or nonexistent bandwidth? How to move your autonomous operations from human in-the-loop to human on-the-loop control? How to negotiate skyrocketing technical complexity when moving from a single vehicle to a heterogeneous swarm, which can act and reason in ways that defy intuition?
For autonomous systems, there are a multitude of interrelated problems and no grand unified theory that solves them all. 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, supported along the way by an engaged user community and distinguished sponsors through countless government technology development programs. We integrate this diverse work into a unified autonomy framework and architecture, guided by a surprisingly simple idea:
True autonomy will be widely adopted only when it can earn your trust
Our talented team will be presenting
on a wide variety of topics!
Pioneering Resilience in Autonomy Software
Under DARPA’s BRASS program, PRINCESS incorporates new advances in machine learning and probabilistic modeling to help buils software systems that can understand, learn, and adapt to change. We ground our research in unmanned underwater vehicle (UUV) platforms, which must quickly acclimate to changing environments, system failures, and new missions.
Expanding Autonomous Sensing Capabilities
To enable small autonomous or semi-autonomous drones to identify chemical, biological, radiological, and nuclear (CBRN) threats, MIDNIGHT applies advanced techniques from computer vision, machine learning, and autonomous navigation to the fields of radiation detection and perceptual sensing.
Enabling "Smart" Autonomous Communication
To broaden the range of potential missions for UxVs, we are developing software tools that provide adaptive signaling behavior, such as choosing among alternative sommunications pathways to maximize the value and timeliness of information transmission based on mission relevance, operating situation, and bandwidth constraints.
Navigating Accurately and Efficiently
CAMINO is a system we developed for the US Navy to improve the accuracy of underwater positioning and navigation at a reduced size, weight, power, and cost (SWAP-C), enabling effective navigation for smaller, cheaper, and even expendable underwater assets.
Making AI Understandable:
The Ultimate Basis for Trust
Under DARPA’s Explainable Artificial Intelligence (XAI) effort, our team developed probabilistic causal modeling techniques and an explanatory interface that enables users to naturally understand and interact with machines. CAMEL creates simple, understandable explanations of how these complex, deep learning machines work, the key to helping human operators develop trust in autonomy.
Autonomous Lookout System
This AI and computer vision system complements and supports manned/unmanned lookouts and marine radar systems. Awarion uses electro-optical and infrared video streams to detect, analyze, and report on the presence of whales, ships, and other objects, including fishing buoys and equipment.
We recently released version 1.1 of AutoTRap Onboard, our AI-based object detection software that analyzes sonar data, generating contact reports in real time—no post-mission analysis is required. AutoTRap Onboard readily integrates onto the market-leading Teledyne Gavia (and other) lines of autonomous underwater vehicles (AUVs), expanding their already impressive survey capabilities.
Teaming with Autonomous Swarms
Under DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program, we developed EUROPA, which provides novel, tactically tailored, multimodal user interfaces to help operators control drone swarms.
With SATURN, we developed capabilities that give heterogeneous swarms of unlimited size resilient behavior while achieving mission objectives.
Our MERLIN effort applies a meta-reinforcement learning approach to discover and learn novel swarm tactics.
Multiple Unmanned Systems in Complex Environments
In support of the US army’s Combat Vehicle Robotics (CoVeR) program, MANTA enables robust, natural, heads-up and hands-free direction of autonomous behaviors for multiple unmanned systems in complex environments.