Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | IEEE 20th International Conference on Automation Science and Engineering |
Untertitel | CASE 2024 |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 3963-3968 |
Seitenumfang | 6 |
ISBN (elektronisch) | 9798350358513 |
ISBN (Print) | 979-8-3503-5852-0 |
Publikationsstatus | Veröffentlicht - 28 Aug. 2024 |
Veranstaltung | 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 - Bari, Italien Dauer: 28 Aug. 2024 → 1 Sept. 2024 |
Publikationsreihe
Name | IEEE International Conference on Automation Science and Engineering |
---|---|
ISSN (Print) | 2161-8070 |
ISSN (elektronisch) | 2161-8089 |
Abstract
Given the strive towards miniaturised systems and the continual advancements in optical technologies, the importance of micro-assembly is steadily increasing. However, achieving assembly accuracy at the micrometer to sub-micron level demands specialised assembly strategies, hardware, and a specific knowledge base in engineering. This is why we are working on a holistic framework for intuitive microassembly programming to speed up process development and setup. Perceiving already existing solutions for intuitive and autonomous programming of industrial robots, the transferability of concepts is limited due to the specific boundary conditions in micro-assembly processes. While solutions have been presented for industrial robots that use an integration of CAD data for assembly process planning, these are not suitable for microassembly due to the influences of geometry tolerances of the involved components. As micro-assembly processes typically rely heavily on the utilisation of reference points and sensor-guided strategies, the robot trajectories/transformations have to be re-calculated for each individual assembly, which is not taken into account in current approaches. In this paper, we present a solution that enables an intuitive definition of teach-points and assembly mates with seamless information flow from CAD software (SolidWorks) to robot operating interface (ROS2), accelerating rapid prototyping in micro-assembly. As the assembly mates are known to the robot's operating interface, our solution enables an automatic calculation of the assembly transformations, taking into account the geometrical tolerance of the components.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
IEEE 20th International Conference on Automation Science and Engineering: CASE 2024. IEEE Computer Society, 2024. S. 3963-3968 (IEEE International Conference on Automation Science and Engineering).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Accelerating Micro-Assembly Process Implementation by a CAD-Based Control Interface
AU - Terei, Niklas
AU - Wiemann, Rolf
AU - Raatz, Annika
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/8/28
Y1 - 2024/8/28
N2 - Given the strive towards miniaturised systems and the continual advancements in optical technologies, the importance of micro-assembly is steadily increasing. However, achieving assembly accuracy at the micrometer to sub-micron level demands specialised assembly strategies, hardware, and a specific knowledge base in engineering. This is why we are working on a holistic framework for intuitive microassembly programming to speed up process development and setup. Perceiving already existing solutions for intuitive and autonomous programming of industrial robots, the transferability of concepts is limited due to the specific boundary conditions in micro-assembly processes. While solutions have been presented for industrial robots that use an integration of CAD data for assembly process planning, these are not suitable for microassembly due to the influences of geometry tolerances of the involved components. As micro-assembly processes typically rely heavily on the utilisation of reference points and sensor-guided strategies, the robot trajectories/transformations have to be re-calculated for each individual assembly, which is not taken into account in current approaches. In this paper, we present a solution that enables an intuitive definition of teach-points and assembly mates with seamless information flow from CAD software (SolidWorks) to robot operating interface (ROS2), accelerating rapid prototyping in micro-assembly. As the assembly mates are known to the robot's operating interface, our solution enables an automatic calculation of the assembly transformations, taking into account the geometrical tolerance of the components.
AB - Given the strive towards miniaturised systems and the continual advancements in optical technologies, the importance of micro-assembly is steadily increasing. However, achieving assembly accuracy at the micrometer to sub-micron level demands specialised assembly strategies, hardware, and a specific knowledge base in engineering. This is why we are working on a holistic framework for intuitive microassembly programming to speed up process development and setup. Perceiving already existing solutions for intuitive and autonomous programming of industrial robots, the transferability of concepts is limited due to the specific boundary conditions in micro-assembly processes. While solutions have been presented for industrial robots that use an integration of CAD data for assembly process planning, these are not suitable for microassembly due to the influences of geometry tolerances of the involved components. As micro-assembly processes typically rely heavily on the utilisation of reference points and sensor-guided strategies, the robot trajectories/transformations have to be re-calculated for each individual assembly, which is not taken into account in current approaches. In this paper, we present a solution that enables an intuitive definition of teach-points and assembly mates with seamless information flow from CAD software (SolidWorks) to robot operating interface (ROS2), accelerating rapid prototyping in micro-assembly. As the assembly mates are known to the robot's operating interface, our solution enables an automatic calculation of the assembly transformations, taking into account the geometrical tolerance of the components.
UR - http://www.scopus.com/inward/record.url?scp=85208234239&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711593
DO - 10.1109/CASE59546.2024.10711593
M3 - Conference contribution
AN - SCOPUS:85208234239
SN - 979-8-3503-5852-0
T3 - IEEE International Conference on Automation Science and Engineering
SP - 3963
EP - 3968
BT - IEEE 20th International Conference on Automation Science and Engineering
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -