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

conference contribution
posted on 2024-03-13, 12:46 authored by Fanta Camara, Charles FoxCharles Fox
<p>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.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publisher

Social Robot Navigation: Advances and Evaluation

Date Submitted

2022-05-16

Date Accepted

2022-04-10

Date of First Publication

2022-05-22

Date of Final Publication

2022-05-22

Event Name

Social Robot Navigation: Advances and Evaluation (SEANavBench 2022)

Event Dates

May 23rd-27th 2022

Date Document First Uploaded

2022-05-06

ePrints ID

49183

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