Arkady Zgonnikov, Julian Schumann
生駒 : 奈良先端科学技術大学院大学, 2024.6
授業アーカイブRobots and autonomous vehicles increasingly rely on models of human behavior. However, models commonly used in robotics often lack in accuracy, transparency, and generalization. In this lecture, I will demonstrate how established models from cognitive science can help address these issues. I will illustrate how these models can be translated to human-robot interaction in traffic, which challenges need to be addressed in doing so, and how such modeling can contribute to development and assessment of autonomous vehicles.
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P000013 |
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2024
電子化映像資料(1時間30分24秒）
情報科学領域・コロキアム ; 2024年度
講演者所属: Delft University of Technology
講演日: 2024年6月11日
講演場所: エーアイ大講義室, AI Inc. Seminar Hall （L1）
英語 (eng)
英語 (eng)
