Contents Intro.

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.

Details

Publication year

2024

Form

電子化映像資料(1時間30分24秒）

Series title

情報科学領域・コロキアム ; 2024年度

Note

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）

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Arkady Zgonnikov

Julian Schumann