| 日時(Date) |
2024年6月11日 (火) / June 11th, 2024 3限 (13:30--15:00) / 3rd period (13:30--15:00) |
|---|---|
| 場所(Location) | エーアイ大講義室（L1）, AI Inc. Seminar Hall （L1） |
| 司会(Chair) | 和田隆広 (Takahiro Wada) |
| 講演者(Presenter) | Arkady Zgonnikov (Delft University of Technology) |
| 題目(Title) | Cognitive modeling of human-robot interactions in traffic |
| 概要(Abstract) | 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. |
| 講演言語(Language) | English |
| 講演者紹介(Introduction of Lecturer) |