PUBLICACIÓN

A survey on socially aware robot navigation: Taxonomy and future challenges

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Phani Teja Singamaneni, Pilar Bachiller-Burgos, Luis J. Manso, Anaís Garrell, Alberto Sanfeliu, Anne Spalanzani, Rachid Alami

2024 INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Applied Mathematics (Q1), Artificial Intelligence (Q1), Electrical and Electronic Engineering (Q1), Mechanical Engineering (Q1), Modeling and Simulation (Q1), Software (Q1)

JCR: 5

SJR: 2.333


CITAS

17

DOI

10.1177/02783649241230562

EID

2-s2.0-85185659765

ISSN

0278-3649

EISSN

1741-3176

BIBTEX

@article{9ad929f3c92d4d559aaf8c51f7a6562c, title = '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.', keywords = 'Socially Aware Robot Navigation, Human-aware Navigation, Literature Survey, Taxonomy, Challenges', author = 'Singamaneni, {Phani Teja} and Pilar Bachiller-Burgos and Manso, {Luis J.} and Ana{\'i}s Garrell and Alberto Sanfeliu and Anne Spalanzani and Rachid Alami', note = 'Copyright {\textcopyright} 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/]. ', year = '2024', month = feb, day = '12', doi = '10.1177/02783649241230562', language = 'English', journal = 'The International Journal of Robotics Research', issn = '1741-3176', publisher = 'SAGE', }


AUTORES DE LA UEX