Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Victor Hernandez Moreno"'
Publikováno v:
University of Technology Sydney
Learning from demonstration (LfD) has the potential to greatly increase the applicability of robotic manipulators in modern industrial applications. Recent progress in LfD methods have put more emphasis in learning robustness than in guiding the demo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fe867b7b0620aa383b2a543bda04957
http://arxiv.org/abs/2302.03901
http://arxiv.org/abs/2302.03901
Autor:
Jochen Deuse, Florian Hoffmann, Nathalie Sick, Nick Bennett, Thorsten Lammers, Victor Hernandez Moreno
The alarming progress of climate change requires immediate and rigorous action from our society. This also affects the manufacturing industry to a large extent. Many companies have recognised the situation and set themselves ambitious goals with rega
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9617d00ec08ab6d70ad0cb5154bcd9ef
https://hdl.handle.net/10453/162392
https://hdl.handle.net/10453/162392
In recent times, learning by demonstration has seen tremendous progress in robotic assembly operations. One of the most prominent trajectory-level task models applied is Dynamic Movement Primitives (DMP). However, it lacks the ability to tackle compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b205b12434a81eee93c4db0d443f388c
https://doi.org/10.36227/techrxiv.19975829.v1
https://doi.org/10.36227/techrxiv.19975829.v1
Publikováno v:
Proceedings of the European Modeling & Simulation Symposium, EMSS.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d6314f9bcbd9aa12999745ff86bfeca
https://doi.org/10.46354/i3m.2022.emss.006
https://doi.org/10.46354/i3m.2022.emss.006
