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pro vyhledávání: '"Dvorak, Julia"'
Autor:
Alt, Benjamin, Zahn, Johannes, Kienle, Claudius, Dvorak, Julia, May, Marvin, Katic, Darko, Jäkel, Rainer, Kopp, Tobias, Beetz, Michael, Lanza, Gisela
While recent advances in deep learning have demonstrated its transformative potential, its adoption for real-world manufacturing applications remains limited. We present an Explanation User Interface (XUI) for a state-of-the-art deep learning-based r
Externí odkaz:
http://arxiv.org/abs/2404.19349
Over the past decade, deep learning helped solve manipulation problems across all domains of robotics. At the same time, industrial robots continue to be programmed overwhelmingly using traditional program representations and interfaces. This paper u
Externí odkaz:
http://arxiv.org/abs/2404.13652
Akademický článek
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A Systematic Approach to Task Assignment and Production Planning in Disassembly with Employee Skills
Publikováno v:
In Procedia CIRP 2023 120:958-963
Autor:
Dvorak, Julia, Amma, Christoph, Kandler, Magnus, Clever, Fabian, May, Marvin Carl, Lanza, Gisela
Publikováno v:
ZWF Zeitschrift fur Wirtschaftlichen Fabrikbetrieb; Jun2024, Vol. 119 Issue 6, p470-473, 4p
Autor:
Mitrouchev, Peter, Wang, Jun, Dvorak, Julia, Svensson, Amélie, Kostova, Snezhana, Tanev, Tanio, Lekova, Anna, Yaneva, Tsvete, Markova, Violina, Dimitrova, Maya, Zahariev, Roman, Vlachkova, Nina, Quaine, Franck
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::269cb53bd0537f6e97dbf39aed7137eb
https://hal.science/hal-03712224
https://hal.science/hal-03712224
Autor:
Dvorak, Julia, Kandler, Magnus, Clever, Fabian, Mahanty, Wolfgang, Beiner, Sebastian, Lanza, Gisela, Kinkel, Steffen
Publikováno v:
ZWF Zeitschrift fur Wirtschaftlichen Fabrikbetrieb; Jun2022, Vol. 117 Issue 6, p415-418, 4p