Follow me: an architecture for user identification and social navigation with a mobile robot

Over the past decade, a multitude of service robots have been developed to fulfill a wide range of practical purposes. Notably, roles such as reception and robotic guidance have garnered extensive popularity. In these positions, robots are progressively assuming the responsibilities traditionally he...

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Bibliographic Details
Published in:arXiv.org 2024-03
Main Authors: Ruo, Andrea, Sabattini, Lorenzo, Villani, Valeria
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Computer vision
Context
Machine learning
Mobile computing
Navigation
Service robots
Online Access:Get full text
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Summary:Over the past decade, a multitude of service robots have been developed to fulfill a wide range of practical purposes. Notably, roles such as reception and robotic guidance have garnered extensive popularity. In these positions, robots are progressively assuming the responsibilities traditionally held by human staff in assisting customers. Ensuring the safe and socially acceptable operation of robots in such environments poses a fundamental challenge within the context of Socially Responsible Navigation (SRN). This article presents an architecture for user identification and social navigation with a mobile robot that employs computer vision, machine learning, and artificial intelligence algorithms to identify and guide users in a social navigation context, thereby providing an intuitive and user-friendly experience with the robot.
ISSN:2331-8422