Paper Info
Title
Socially Compliant Human-Robot Interaction for Autonomous Scanning Tasks in Supermarket Environments
Abstract
In this paper, we present a system for socially aware robot navigation for a wide range of service tasks in supermarkets. It comprises modules for real-time person detection and tracking to gain situation awareness, modules to react to situations, and means for human-robot communication. The technical performance of the situation awareness was evaluated in a shelf out-of-stock (SOOS) detection scenario under real-world conditions in a supermarket in Germany. Furthermore, in order to investigate whether and to what extent our social navigation strategy can improve the acceptance and application of a mobile service robot in a supermarket, we have conducted surveys with N = 60 participants and usability tests with N =8 participants during a three-day field test. We can show that a robot for SOOS detection operating in a supermarket during the opening hours is generally accepted by customers and that the integration of a real-time person perception is crucial, especially for keeping appropriate distances to persons and for improving user-centered communication. Furthermore, our results indicate that various communication channels (e.g. speech, a video projector, and LED lights) are beneficial in order to address a wider user group in the targeted supermarket setting.
Year
DOI
Venue
2020
10.1109/RO-MAN47096.2020.9223568
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
DocType
ISSN
ISBN
Conference
1944-9445
978-1-7281-6075-7
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Benjamin Lewandowski113.41
Tim Wengefeld235.15
Sabine Müller300.34
Mathias Jenny400.34
Sebastian Glende500.34
Christof Schröter600.34
Andreas Bley718918.40
Horst-Michael Gross800.68