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@PHDTHESIS{Detert:728622,
author = {Detert, Tim},
othercontributors = {Corves, Burkhard and Schmitt, Robert H.},
title = {{K}inematic accuracy and self-calibration of an object
integrative handling system; 1. {A}uflage},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Apprimus Verlag},
reportid = {RWTH-2018-225790},
isbn = {978-3-86359-631-6},
series = {Apprimus Edition Wissenschaft},
pages = {1 Online-Ressource (118, xxiii Seiten) : Illustrationen},
year = {2018},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2018},
abstract = {The cooperative manipulation of rigid objects with
industrial robots leads to redundant actuation, which is a
challenging configuration for the control of cooperating
robots. In such a configuration, the object is connected to
multiple robots and integrated into the kinematic structure,
resulting in actuation redundancy. Inaccuracies of the
robots and tolerances of the object lead to deviations of
the grasp points at the object that cannot be determined
precisely. These deviations of the kinematics model from the
real system are amplified due to coupling effects. This
consequently results in inadequate object positioning and
causes internal tensioning of the overall structure. A
recent example of this object integration is the PARAGRIP
handling system that was investigated in this thesis.
Today’s control and calibration approaches, however, do
not target the identification of the uncertain grasp points.
Accordingly, in this thesis a kinematic calibration
procedure for the PARAGRIP robotic arms and a
self-calibration procedure for the object integrative
handling system were developed to identify the actual grasp
points at the object. The kinematic calibration was
investigated for a mathematically efficient serial and a
hybrid kinematics mod-el, both including the compensation of
gravitational effects. The choice of identification points
and the optimization residual were investigated and the
limited absolute accuracy of the PARAGRIP arms could be
improved significantly based on the findings. In the context
of the kinematic calibration, a new stiffness modeling
approach was implemented by extending the concept of Matrix
Structure Analysis. The implemented modeling approach allows
for the automatic calculation of arbitrary kinematic
structures and the compensation of the gravitational
deformations. Furthermore, a new self-calibration method for
the object integrative handling system was developed based
on the combination of direct and inverse kinematic
calculations. The redundant sensor-information of the
cooperating robots is evaluated to identify the actual grasp
points at the integrated object, to increase the system
accuracy and to limit the impact of the coupling effects.
The sensitivity and influencing factors of the method were
investigated and verified in simulations. The results show
that the available redundant sensor information for object
integrative robots or handling systems can be used to
identify the grasp points at the object and compensate the
internal inaccuracies automatically. The application of
self-calibration to object integrative handling systems
allows for an efficient and easy way of reconfiguration and
calibration without additional external metrology. This
offers the opportunity to extend the capabilities of
cooperating robots and reduces the demand for complex robot
control. The re-search and results described in this thesis
yielded new findings for the PARAGRIP handling system, which
can be generalized for every object integrative handling
system with redundant actuation, in particular cooperating
industrial robots.},
cin = {411910},
ddc = {620},
cid = {$I:(DE-82)411910_20140620$},
pnm = {DFG project 25065172 - EXC 128: Integrative
Produktionstechnik für Hochlohnländer (25065172)},
pid = {G:(GEPRIS)25065172},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2018-225790},
url = {https://publications.rwth-aachen.de/record/728622},
}