What is it about?
As robots become more common, they need good social interaction skills to be accepted. This article explores how robots can join human groups smoothly, using a theory called F-formation to understand group dynamics. We review current research on this topic, highlighting methods and challenges, and suggest future research directions to improve robots' social behaviors.
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Why is it important?
This comprehensive survey identifies the best methods for robots to join human groups without disrupting interactions. It details camera views, datasets, detection methods, and application areas, ethical concerns, challenges, and future research directions.
Perspectives
The theory of F-formations is elegant. It has been studied for decades and its application to human-robot interaction is intuitive. We aim to provide a comprehensive review of the topic, which we hope to be useful for young researchers. This article reflects a long and successful collaboration of authors from several organizations.
Pradip Pramanick
Universita degli Studi di Napoli Federico II
Read the Original
This page is a summary of: Enabling Social Robots to Perceive and Join Socially Interacting Groups using F-formation: A Comprehensive Overview, ACM Transactions on Human-Robot Interaction, July 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3682072.
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