Record link: 
http://hdl.handle.net/20.500.12708/230086
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Title: 
Mobile Robot Idle Positioning in Large-Scale VR Encountered-Type Haptics Using Deep Reinforcement Learning
en
Citation: 
Ghazanfari, M., Mittermair, V., Mortezapoor, S., & Kaufmann, H. (2027). Mobile Robot Idle Positioning in Large-Scale VR Encountered-Type Haptics Using Deep Reinforcement Learning. In C. Pacchierotti MacLean, K. E. ,. van Erp, J. B. (Ed.), Haptics: Understanding Touch; Technology and Systems; Applications and Interaction (pp. 233–242). https://doi.org/10.1007/978-3-032-32350-7_18
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Publisher DOI: 
10.1007/978-3-032-32350-7_18
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Ghazanfari, Mohammad 
Mittermair, Victor 
Mortezapoor, Soroosh 
Kaufmann, Hannes 
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Organisational Unit: 
E193-03 - Forschungsbereich Virtual and Augmented Reality 
E056-02 - Fachbereich Computational Design (DC:CD) 
E057-16 - Fachbereich Center for Geometry and Computational Design 
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Published in: 
Haptics: Understanding Touch; Technology and Systems; Applications and Interaction 
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ISBN: 
978-3-032-32350-7
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Volume: 
16594
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Date (published): 
2027
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Event name: 
15th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (EuroHaptics 2026) 
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Event date: 
6-Jul-2026 - 9-Jul-2026
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Event place: 
Siena, Italy
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Number of Pages: 
10
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Peer reviewed: 
Yes
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Keywords: 
Encountered-Type Haptics; Deep Reinforcement Learning; Large-scale VR
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Project title: 
Advanced Computational Design: F 77 (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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