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Titel:

Simplifying Robot Grasping in Manufacturing with a Teaching Approach based on a Novel User Grasp Metric

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Matteo Pantano, Vladislav Klass, Qiaoyue Yang, Akhil Sathuluri, Daniel Regulin, Lucas Janisch, Markus Zimmermann, Dongheui Lee
Abstract:
The manufacturing industry is undergoing rapid evolution, necessitating flexible and adaptable robots. However, configuring such machines requires technical experts, which are hard to find, especially for small and medium enterprises. Therefore, the process needs to be simplified by allowing non-experts to configure robots. During such configuration, one key aspect is the definition of objects’ grasping poses. The literature proposes deep learning techniques to compute grasping poses automatical...     »
Horizon 2020:
SHOP4CF
Kongress- / Buchtitel:
5th International Conference on Industry 4.0 and Smart Manufacturing
Jahr:
2023
Sprache:
en
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