Cel
"LIAA aims to keep assembly jobs in Europe by creating and implementing a framework that enables humans and robots to truly to work together in assembly tasks. Co-working allows the senses and intelligence of the human to be complemented by the strength and endurance of the automation and so obtains the best from each of them, reducing repetitive injuries and costs and enhancing job satisfaction and the average length of time that a worker can continue in the same job.
The LIAA framework will be developed not from theory, but instead from the extensive experience partners have gained through many previous projects. It will not be a thought experiment, but applied to create solutions to five real use cases from five different areas of industrial assembly. In this way the framework will be forced not only to be useable and functional but also general enough to be broadly applicable.
A LIAA work station c an be used either by human or robot alone or by both together, and the instructions for tasks will be written for both, by formalising a modular skill hierarchy and creating both human and machine instruction sets for each skill. People will be able to keep track of what the automation is doing and is about to do via an augmented reality (AR) display. The robot will keep track of what the human is doing and is about to do via a dedicated camera-based system and some intelligent prediction algorithms.
To date, safety regulations only cover very limited types of human-robot interaction in industry. The inclusion of Denmark’s Notified Body as a partner in LIAA ensures that not only will all our solutions be properly risk assessed for actual use in industry but also that our experiences will feed back to those responsible for drafting new EU robot co-worker safety regulations.
The direct final outcome of LIAA will be five working co-worker solutions to diverse industrial assembly use cases and a strong unifying framework providing a basis for future co-worker solutions."
Dziedzina nauki
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
Zaproszenie do składania wniosków
FP7-2013-NMP-ICT-FOF(RTD)
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System finansowania
CP-IP - Large-scale integrating projectKoordynator
80686 Munchen
Niemcy
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Uczestnicy (14)
5260 Odense
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02600 Espoo
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12489 BERLIN
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721 29 VASTERAS
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43632 ASKIM
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91056 Erlangen
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2630 Taastrup
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20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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265 04 Rio Patras
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65428 Ruesselsheim
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01237 DRESDEN
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080 01 Haniska
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79346 Endingen
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50196 LA MUELA
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