IEEE Robotics & Automation Magazine - December 2018 - 114

Figure 1. Shelly Bagchi, a robotics engineer at NIST, engages in robot-human
interaction.

separate workers and machines, yet
there is still no means by which human-
robot collaborations (Figure 1) can be
assured to be safe or effective.
Ultimately, what is lacking is mea-
surement science: test methods, met-
rics, and measurement tools by which
systems of seemingly identical specifi-
cations may be measured, evaluated,
and compared in a repeatable and
meaningful way. As the technologies
and their applications advance, mea-

surement science needs to keep up.
There is a measurable gap between the
cutting edge and the state of practice,
largely due to the lack of measurement
science to verify and validate emerg-
ing novel research and thus reduce the
risk of adoption. While manufacturers
may be aware of current trends in
robotic research, they are disinclined
to pursue incorporating them into
their product lines until the technol-
ogy can be unequivocally demon-

strated to be fully functional and ro-
bust against uncertainty.
Even with hardened, commercially
available technologies, end users are fre-
quently left to their own resources to
determine whether a given system,
ostensibly a solution for their automa-
tion needs, will actually perform as
expected. Without clear feedback mech-
anisms in place to guide performance
evaluation, optimizing sensor and robot
parameters is too often a matter of trial
and error and luck. Validated measure-
ment science establishes a common
basis for communicating performance
requirements and provides the means
by which those requirements may be
verified. As new technologies and solu-
tions emerge, measurement science will
be increasingly used to assess and assure
performance using traceable metrics
and repeatable test methods. Similarly,
concrete performance targets and
benchmarks direct innovation, continu-
ous performance gains, and technology
evolution toward addressing existing
capability gaps in robotic systems. The
RSSM program aims to provide the
measurement science needed to enable
all manufacturers to characterize and
understand the performance of robotics
systems within their facilities.

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December 2018



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IEEE Robotics & Automation Magazine - December 2018

Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - December 2018

Contents
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