Unmanned Systems Special Report. February 2023 - 4

Curious Machines
on sonar data in real time. Awarion™ is
an AI and computer vision system with
a camera that sweeps the horizon and
autonomously finds and tracks objects for
follow-up observations, including whales,
ships, and other objects at sea. Laser
doppler vibrometry is also being explored
for aerial, surface, and subsurface sensing.
In projects sponsored by NOAA
NEMO combines information from the Awarion™ autonomous lookout system with deep-learning
YOLO neural networks and probabilistic data fusion methods to accurately detect and classify
marine mammals in visual and acoustic sensor feeds. (Image: Charles River Analytics)
and DARPA, sensors, detection, and
classification software are being
developed to support surveys of marine
mammals. Learning agents aware of their
own competence and software that can
explain how an AI performs classification,
such as detecting pedestrians in images,
or how it makes decisions in game
environments, have also been delivered.
Research on decision making under
uncertainty is ongoing with the use of
Figaro, a probabilistic programming
language. World modeling is supported
by Scruff, a newly released framework
for combining different modeling
paradigms in a coherent framework
so they can be used for AI reasoning.
In one application, these languages
made it possible to convert " normal "
software to adaptive software, which
navigation and path-planning software
onboard a UUV could use to quickly
acclimate to new conditions.
For uncrewed systems to be truly
The ALPACA machine learning agent not only learns how to navigate in outdoor environments, it
also learns about its own competence at the task. (Image: Charles River Analytics)
transmitting) raw data for human
analysis, autonomous vehicles must
wait to be redeployed or directed
towards an interesting target.
Consider the alternative: a machine
determines a finding is interesting enough
to share, so it modifies its behavior-
navigating toward the surface where
it can communicate what it's found,
then diving back down to find the next
new thing. To make this real, humans
must trust their machine teammate.
To earn that trust, a machine must
know when it may need human help
4 FEBRUARY 2023
to perform well, and it must be able to
explain its decisions and actions in a
language humans can understand.
Curiosity-Enabling Technologies
Scientists at Charles River Analytics are
conducting leading-edge R&D in many of
the areas required for humans to encode
curiosity into autonomous underwater
and surface vessels. AutoTRap Onboard™
is a target detection and classification
system that delivers object type,
confidence of detection, and position to
a UUV's navigation system, letting it act
autonomous and a trusted humanmachine
teammate, they must be
curious. Curiosity is a specific form
of intelligence, encoded by knowing
what's normal and what's not, having
the autonomy and ability to make a
decision, and then executing behaviors
to investigate further. To be trustworthy,
machines must be aware of their
own performance and communicate
understandably about their decisions
and actions. The pace of discovery will
increase exponentially once a fleet of
curious machines can be deployed in
service to exploration and conservation.
This article was written by Arjuna
Balasuriya, Sr. Robotics Scientist
and Karen Pfautz, Principal Science
Writer, Charles River Analytics
(Cambridge, MA). For more
information, visit https://cra.com.
UNMANNED SYSTEMS SPECIAL REPORT
https://cra.com

Unmanned Systems Special Report. February 2023

Table of Contents for the Digital Edition of Unmanned Systems Special Report. February 2023

Unmanned Systems Special Report. February 2023 - Cov1
Unmanned Systems Special Report. February 2023 - Cov2
Unmanned Systems Special Report. February 2023 - 1
Unmanned Systems Special Report. February 2023 - 2
Unmanned Systems Special Report. February 2023 - 3
Unmanned Systems Special Report. February 2023 - 4
Unmanned Systems Special Report. February 2023 - 5
Unmanned Systems Special Report. February 2023 - 6
Unmanned Systems Special Report. February 2023 - 7
Unmanned Systems Special Report. February 2023 - 8
Unmanned Systems Special Report. February 2023 - 9
Unmanned Systems Special Report. February 2023 - 10
Unmanned Systems Special Report. February 2023 - 11
Unmanned Systems Special Report. February 2023 - 12
Unmanned Systems Special Report. February 2023 - 13
Unmanned Systems Special Report. February 2023 - 14
Unmanned Systems Special Report. February 2023 - 15
Unmanned Systems Special Report. February 2023 - 16
Unmanned Systems Special Report. February 2023 - 17
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