A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges

Abstract

Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely and appropriately in spaces shared with humans. Although most of these are ground robots, drones are also entering the field. In this paper, we present a literature survey of the works on socially aware robot navigation in the past 10 years. We propose four different faceted taxonomies to navigate the literature and examine the field from four different perspectives. Through the taxonomic review, we discuss the current research directions and the extending scope of applications in various domains. Further, we put forward a list of current research opportunities and present a discussion on possible future challenges that are likely to emerge in the field.

Publication DOI: https://doi.org/10.1177/02783649241230562
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
College of Engineering & Physical Sciences > Aston Centre for Artifical Intelligence Research and Application
Aston University (General)
Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Horizon Europe Framework Programme [Grant: euROBIN 101070596]; Agence Nationale de la Reche
Additional Information: Copyright © The Author(s), 2024. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License [https://creativecommons.org/licenses/by-nc-nd/4.0/].
Uncontrolled Keywords: Socially Aware Robot Navigation,Human-aware Navigation,Literature Survey,Taxonomy,Challenges
Publication ISSN: 1741-3176
Last Modified: 13 Dec 2024 17:43
Date Deposited: 14 Feb 2024 11:30
Full Text Link: https://arxiv.o ... /abs/2311.06922
Related URLs: https://journal ... 783649241230562 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-09
Published Online Date: 2024-02-12
Accepted Date: 2024-01-15
Authors: Singamaneni, Phani Teja
Bachiller-Burgos, Pilar
Manso, Luis J. (ORCID Profile 0000-0003-2616-1120)
Garrell, Anaís
Sanfeliu, Alberto
Spalanzani, Anne
Alami, Rachid

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