Abstract
Manufacturing is facing ever changing market demands, with faster innovation cycles resulting to growing agility and flexibility requirements. Industry 4.0 has been transforming the manufacturing world towards digital automation and the importance of software has increased drastically. Easy and fast task programming and execution in robot - sensor systems become a prerequisite for agile and flexible automation and in this paper, we propose such a system. Our solution relies on a robot skill library, which provides the user with high level and parametrized operations, i.e., robot skills, for task programming and execution. Programming actions results to a control recipe in a neutral product context and is based on use of product CAD models or alternatively collaborative use of pointers and tracking sensor with real parts. Practical tests are also reported to show the feasibility of our approach.
Original language | English |
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Title of host publication | 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Number of pages | 7 |
ISBN (Electronic) | 979-8-3503-6086-8 |
ISBN (Print) | 979-8-3503-6087-5 |
DOIs | |
Publication status | Published - 2024 |
MoE publication type | A4 Article in a conference publication |
Event | 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway Duration: 5 Aug 2024 → 8 Aug 2024 |
Publication series
Series | IEEE Conference on Industrial Electronics and Applications (ICIEA) |
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Volume | 19 |
ISSN | 2156-2318 |
Conference
Conference | 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 |
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Country/Territory | Norway |
City | Kristiansand |
Period | 5/08/24 → 8/08/24 |
Funding
Part of this work was carried out in the INVERSE project, which is funded by the European Union, Horizon Europe research and innovation programme (Grant Agreement 101136067).
Keywords
- computer vision
- robot programming
- robot skill