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pro vyhledávání: '"Seyffer, Norman"'
Autor:
Zug, Sebastian, Jäger, Georg, Seyffer, Norman, Plank, Martin, Licht, Gero, Siebert, Felix Wilhelm
This study identifies a gap in data-driven approaches to robot-centric pedestrian interactions and proposes a corresponding pipeline. The pipeline utilizes unsupervised learning techniques to identify patterns in interaction data of urban environment
Externí odkaz:
http://arxiv.org/abs/2405.12098
