Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Moosmann, Marius"'
Autor:
Kleeberger, Kilian, Völk, Markus, Moosmann, Marius, Thiessenhusen, Erik, Roth, Florian, Bormann, Richard, Huber, Marco F.
In this paper, we introduce a novel learning-based approach for grasping known rigid objects in highly cluttered scenes and precisely placing them based on depth images. Our Placement Quality Network (PQ-Net) estimates the object pose and the quality
Externí odkaz:
http://arxiv.org/abs/2101.04781
Autor:
Moosmann, Marius, Kulig, Marco, Spenrath, Felix, Mönnig, Manuel, Roggendorf, Simon, Petrovic, Oliver, Bormann, Richard, Huber, Marco F.
Publikováno v:
In Procedia CIRP 2021 104:881-886
Autor:
Moosmann, Marius, Spenrath, Felix, Kleeberger, Kilian, Khalid, Muhammad Usman, Mönnig, Manuel, Rosport, Johannes, Bormann, Richard
Publikováno v:
In Procedia CIRP 2020 93:1212-1217
Autor:
Schönhof, Raoul, Moosmann, Marius
Künstliche Intelligenz (KI) und dessen Teilgebiet maschinelles Lernen ist einer der großen Trends. Er soll Anwendungen mit Robotern zunehmend auch für herausfordernde sowie bisher technisch oder wirtschaftlich nicht sinnvoll zu automatisierende Au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______610::d8c8cb832e1b88e904c9621a0f59be6b
https://publica.fraunhofer.de/handle/publica/271117
https://publica.fraunhofer.de/handle/publica/271117
This volume of the series ARENA2036 compiles the outcome of the 2nd Stuttgart Conference on Automotive Production (SCAP2022). The peer-reviewed contributions in this book are arranged thematically in three parts and cover a wide variety of topics: (A
This volume of the series ARENA2036 compiles the outcomes of the first Stuttgart Conference on Automotive Production (SCAP2020). It contains peer-reviewed contributions from a theoretical as well as practical vantage point and is topically structured