TY  - JOUR
A1  - Haag, S.
A1  - Zontar, D.
A1  - Schleupen, Josef
A1  - Müller, T.
A1  - Brecher, C.
T1  - Chain of refined perception in self-optimizing assembly of micro-optical systems
JF  - Journal of sensors and sensor systems
N2  - Today, the assembly of laser systems requires a large share of manual operations due to its complexity regarding the optimal alignment of optics. Although the feasibility of automated alignment of laser optics has been shown in research labs, the development effort for the automation of assembly does not meet economic requirements – especially for low-volume laser production. This paper presents a model-based and sensor-integrated assembly execution approach for flexible assembly cells consisting of a macro-positioner covering a large workspace and a compact micromanipulator with camera attached to the positioner. In order to make full use of available models from computer-aided design (CAD) and optical simulation, sensor systems at different levels of accuracy are used for matching perceived information with model data. This approach is named "chain of refined perception", and it allows for automated planning of complex assembly tasks along all major phases of assembly such as collision-free path planning, part feeding, and active and passive alignment. The focus of the paper is put on the in-process image-based metrology and information extraction used for identifying and calibrating local coordinate systems as well as the exploitation of that information for a part feeding process for micro-optics. Results will be presented regarding the processes of automated calibration of the robot camera as well as the local coordinate systems of part feeding area and robot base.
Y1  - 2014
U6  - https://doi.org/10.5194/jsss-3-87-2014
SN  - 2194-878X
VL  - 3
IS  - 1
SP  - 87
EP  - 95
PB  - Copernicus Publ.
CY  - Göttingen
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Gebhardt, Andreas
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
A1  - Tedjasukmana, Osmond Sanjaya
T1  - Improving additive manufacturing by image processing and robotic milling
T2  - 2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden
Y1  - 2015
U6  - https://doi.org/10.1109/CoASE.2015.7294217
SP  - 924
EP  - 929
ER  - 
TY  - RPRT
A1  - Barnat, Miriam
A1  - Arntz, Kristian
A1  - Bernecker, Andreas
A1  - Fissabre, Anke
A1  - Franken, Norbert
A1  - Goldbach, Daniel
A1  - Hüning, Felix
A1  - Jörissen, Jörg
A1  - Kirsch, Ansgar
A1  - Pettrak, Jürgen
A1  - Rexforth, Matthias
A1  - Josef, Rosenkranz
A1  - Terstegge, Andreas
T1  - Strategische Gestaltung von Studiengängen für die Zukunft:  Ein kollaborativ entwickeltes  Self-Assessment
BT  - Diskussionspapier Nr. 33
T2  - Hochschulforum Digitalisierung - Diskussionspapier
N2  - Das Diskussionspapier beschreibt einen Prozess an der FH Aachen zur Entwicklung und Implementierung eines Self-Assessment-Tools für Studiengänge. Dieser Prozess zielte darauf ab, die Relevanz der Themen Digitalisierung, Internationalisierung und Nachhaltigkeit in Studiengängen zu stärken. Durch Workshops und kollaborative Entwicklung mit Studiendekan:innen entstand ein Fragebogen, der zur Reflexion und strategischen Weiterentwicklung der Studiengänge dient.
Y1  - 2024
SN  - 2365-7081
PB  - Stifterverband für die Deutsche Wissenschaft
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
A1  - Kallweit, Stephan
T1  - The ROSIN Education Concept - Fostering ROS Industrial-Related Robotics Education in Europe
T2  - ROBOT 2017: Third Iberian Robotics Conference
Y1  - 2018
SN  - 978-3-319-70836-2
U6  - https://doi.org/10.1007/978-3-319-70836-2_31
N1  - Advances in Intelligent Systems and Computing, vol 694;
(AISC, volume 694)
SP  - 370
EP  - 381
PB  - Springer
CY  - Cham
ER  -