Game Theory, Proxemics and Trust for Self-Driving Car Social Navigation

Camara, Fanta and Fox, Charles (2022) Game Theory, Proxemics and Trust for Self-Driving Car Social Navigation. In: Social Robot Navigation: Advances and Evaluation (SEANavBench 2022), May 23rd-27th 2022, Philadelphia, PA, USA.

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To navigate in human social spaces, self-driving cars and other robots must show social intelligence. This involves predicting and planning around pedestrians, understanding their personal space, and establishing trust with them. The present paper gives an overview of our ongoing work on modelling and controlling human–self-driving car interactions using game theory, proxemics and trust, and unifying these fields via quantitative models and robot controllers.

Keywords:game theory, transport, autonomous vehicles, pedestrians
Subjects:N Business and Administrative studies > N850 Transport Studies
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:49183
Deposited On:16 May 2022 14:51

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