Tech Briefs Magazine - July 2021 - 38

Robotics & Automation
quality control on manufacturing lines
across many industries. The setup can
evaluate parts made from almost any
material, no matter how complex in
shape. VGinLINE can be used for detecting
porosity, delamination, and a wide
variety of other types of defects anywhere
within the part. If it is required to evaluate
the extent to which variations in part
geometry affect performance, related
software can be used to perform a realistic
micromechanics simulation or to generate
a high-quality tetrahedral volume
mesh for further use in third-party FEM
simulation software.
(Left) CT scan of electronic connector pins and (right) a visualization of a scan-data software analysis
that clearly identifies geometries that are out of alignment.
As the automation of factories continues
to expand, the economics of implementing
reliable, repeatable quality control
directly on the manufacturing line is
increasingly making sense to high-volume
part-production companies. Indus -
trial CT systems and associated software
are being installed all over the world as
more manufacturers decide to make the
technical investment to integrate this
technology with existing production
lines. A significant driver for the adoption
of in-line scanning is the leap in data
processing speeds; in one instance, a system
is meeting a tact-time requirement
of 5 seconds per part (CT scan, analyze,
accept/reject).
This article was written by Peter Davis, CT
Automation Manager and Jake Rickter,
Automation Specialist at Pinnacle X-Ray
Solutions, Suwanee, GA. For more information,
visit http://info.hotims.com/79415-125.
Robot Detects and Shares Changes in 3D in Real Time
A robot could immediately alert a human of small changes in their surrounding environment.
Army Research Laboratory, Adelphi, Maryland
E
ven small changes in a soldier's surroundings
could indicate danger.
Now, a robot can detect those changes
and a warning could immediately alert
the soldier through a display in her eyeglasses.
Researchers demonstrated in a
real-world environment the first humanrobot
team in which the robot detects
physical changes in 3D and shares that
information with a human in real time
through augmented reality. The human
is then able to evaluate the information
received and decide follow-on action.
The work was done to provide contextual
awareness to auton omous robotic
ground platforms in maneuver and
mobility scenarios. Most academic re -
search in the use of mixed reality interfaces
for human-robot teaming does not
enter real-world environments but rather
uses external instrumentation in a lab to
manage the calculations necessary to
share information between a human and
robot. Like wise, most engineering efforts
to provide humans with mixed-reality
interfaces do not examine teaming with
autonomous mobile robots.
38
Cov
The Army developed a robot that could detect physical changes in 3D and share that information
with a human in real time. (U.S. Army)
The new research paired a small
autonomous mobile ground robot,
equipped with laser ranging sensors
known as LiDAR, to build a representation
of the environment with a human teamwww.techbriefs.com
ToC
mate
wearing augmented reality glasses.
As the robot patrolled the environment, it
compared its current and previous readings
to detect changes in the environment.
Those changes were then instantly disTech
Briefs, July 2021
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Tech Briefs Magazine - July 2021

Table of Contents for the Digital Edition of Tech Briefs Magazine - July 2021

Tech Briefs Magazine - July 2021 - Intro
Tech Briefs Magazine - July 2021 - Sponsor
Tech Briefs Magazine - July 2021 - Cov1
Tech Briefs Magazine - July 2021 - Cov2
Tech Briefs Magazine - July 2021 - 1
Tech Briefs Magazine - July 2021 - 2
Tech Briefs Magazine - July 2021 - 3
Tech Briefs Magazine - July 2021 - 4
Tech Briefs Magazine - July 2021 - 5
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Tech Briefs Magazine - July 2021 - 7
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Tech Briefs Magazine - July 2021 - Cov3
Tech Briefs Magazine - July 2021 - Cov4
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