Page - 57 - in Joint Austrian Computer Vision and Robotics Workshop 2020
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Figure 2. Simulation of the lab use case in ema Work De-
signer.
boxes, the MB in Table 1 allows for multiple selec-
tionswithinspecificmodificationdimensions. In this
example, the typeofsafetydevice fordistancemoni-
toringallowsforcombiningdifferentdevices forone
system variant.
For example, one use case variant could be de-
fined as follows: The product type A of the rocker
lever is assembled in the work system. The collab-
orative task of positioning the levers on the trestle is
doneinanergonomicheight foranoperator. Trestles
aresuppliedbyafeederandmanipulatedbyaUR10.
Theinsertion taskof theadjustingbolts iscarriedout
by the human while the tightening task is done by
the UR3. The velocities of both robots is set to 500
mm/s. The safety function in both areas A and B is
basedonforce limitationanddistancemonitoringby
software-based workspace limitations. The distance
between robot base and operator should be as large
aspossible during thecollaboration.
3.1.RepresentedSystemVariants
Themaineffectsonpersonalsafetyresultingfrom
the selection of system parameters via MB are de-
scribed in the following.
Impact of Resource Allocation The modification
space related to the given resources spans all possi-
bilitiesbetweenmanualprocessingtoanalmost fully
automated scenario. Special safety considerations
arerelevant for thosecaseswherearobot isallocated
to a task. For this purpose, all boundary cases must
be evaluated separately for e.g. critical contact situ-
ations, safety distances as well as force and pressure
impacts on the involved body regions of the human.
This can lead to restrictionswhichare storedasa set
of rules for apartiallyautomatedassessment. Figure3.Setupof theusecase in labenvironment.
Impact of Safety Device Several extrinsic safety
devices listed in Table 1 are exchangeable, e.g.
whether a light curtain or a laser scanner is used for
distance monitoring is usually irrelevant. However,
the plane used to determine the safety distance has a
significant influenceonpermissibledistancesandthe
velocity to the moving robot. Horizontal measuring
safety devices, such as a safety mat or a laser scan-
neronamobilemanipulator,haveasubstantiallydif-
ferent information content than vertical devices such
as a light curtain. In contrast to horizontal safety
devices, vertical safety devices have a higher uncer-
tainty in determining the location of humans. How-
ever, a safety mat can be partially skipped by a hu-
man, whereas a laser scanner mounted on a mobile
robot system,canbeused invariable locations.
Impact of Workpiece Supply The feeding of
the workpieces mainly influences mechanical safety
characteristics,whichcanbedeterminedbymeansof
a risk assessment. Therefore, the type of the feeding
system has no significant effect on the safety related
systemvariant.
3.2.SimulatedandExperimentalSetup
The virtually designed and simulated laboratory
use case is shown in Figure 2, whereas the physi-
cal setup of the use case is shown in Figure 3. All
required modification dimensions were taken into
account, which gives the impression that unneces-
sary redundancies exist especially for the listed ex-
ternalsafetydevices. However, theseallowustoper-
formspecificstudiesonmeaningful combinationsof
safety devices and a direct and detailed comparison
between them.
In order to assess the effects of modifications on
57
Joint Austrian Computer Vision and Robotics Workshop 2020
- Title
- Joint Austrian Computer Vision and Robotics Workshop 2020
- Editor
- Graz University of Technology
- Location
- Graz
- Date
- 2020
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-752-6
- Size
- 21.0 x 29.7 cm
- Pages
- 188
- Categories
- Informatik
- Technik