Record link: 
http://hdl.handle.net/20.500.12708/210014
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Title: 
ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges
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Citation: 
Unger, C., Hartl-Nesic, C., Vu, M. N., & Kugi, A. (2024). ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5956–5963). https://doi.org/10.1109/IROS58592.2024.10802255
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Publisher DOI: 
10.1109/IROS58592.2024.10802255
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Unger, Christoph 
Hartl-Nesic, Christian 
Vu, Minh Nhat 
Kugi, Andreas 
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Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
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Published in: 
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
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ISBN: 
979-8-3503-7770-5
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DOI of the book: 
10.1109/IROS58592.2024
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Date (published): 
2024
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Event name: 
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
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Event date: 
14-Oct-2024 - 18-Oct-2024
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Event place: 
United Arab Emirates (the)
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Number of Pages: 
8
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Keywords: 
surface cleaning; robotic cleaning; probabilistic logic
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Research Areas: 
Mathematical and Algorithmic Foundations: 50%
Modeling and Simulation: 50%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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