ROBOTICS
ROBOT/HUMAN SIMILARITIES
THE SEMPRE GROUP
How to reduce human error and training-time using guidance system
AR allows you to experience an enhanced
version of reality. From computer games
to manufacturing, this technology can
help humans gain repeatable and reliable
results just as a robot would. Here, Chloe
Reynolds, regional sales engineer for lean
enterprise at The Sempre Group, explains
how manufacturers can use AR to further
bridge the gap between humans and robots
in assembly and more.
The global COVID-19 pandemic has forced
many operators to develop new skills as
they take on a more varied role in a smaller
workforce. During this transition, integrating
and training new employees is a timeconsuming
and costly process, and one that
may initially result in high rates of human
error as trainees learn new manufacturing
processes.
The Office for National Statistics highlights
the issue that maintaining social distance
guidelines has “led to business and factory
closures and supply chain disruptions,”
making the training process more
complicated and costly.
Robots are commonly used to overcome
issues, like training time and human
error. However, integrating robots into
a manufacturing process is not always
possible. Aerospace or automotive
assembly lines may need to carry out
human quality control where a robot may
not be able to differentiate between a
superficial blemish on the inside of an
engine and a potentially dangerous hairline
crack on the external wing of a plane.
96 PECM Issue 46