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Evaluation of Socially-Aware Robot Navigation

As mobile robots are increasingly introduced into our daily lives, it grows ever more imperative that these robots navigate with and among people in a safe and socially acceptable manner, particularly in shared spaces. While research on enabling socially-aware robot navigation has expanded over the...

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Detalles Bibliográficos
Autores principales: Gao, Yuxiang, Huang, Chien-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791647/
https://www.ncbi.nlm.nih.gov/pubmed/35096978
http://dx.doi.org/10.3389/frobt.2021.721317
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author Gao, Yuxiang
Huang, Chien-Ming
author_facet Gao, Yuxiang
Huang, Chien-Ming
author_sort Gao, Yuxiang
collection PubMed
description As mobile robots are increasingly introduced into our daily lives, it grows ever more imperative that these robots navigate with and among people in a safe and socially acceptable manner, particularly in shared spaces. While research on enabling socially-aware robot navigation has expanded over the years, there are no agreed-upon evaluation protocols or benchmarks to allow for the systematic development and evaluation of socially-aware navigation. As an effort to aid more productive development and progress comparisons, in this paper we review the evaluation methods, scenarios, datasets, and metrics commonly used in previous socially-aware navigation research, discuss the limitations of existing evaluation protocols, and highlight research opportunities for advancing socially-aware robot navigation.
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spelling pubmed-87916472022-01-27 Evaluation of Socially-Aware Robot Navigation Gao, Yuxiang Huang, Chien-Ming Front Robot AI Robotics and AI As mobile robots are increasingly introduced into our daily lives, it grows ever more imperative that these robots navigate with and among people in a safe and socially acceptable manner, particularly in shared spaces. While research on enabling socially-aware robot navigation has expanded over the years, there are no agreed-upon evaluation protocols or benchmarks to allow for the systematic development and evaluation of socially-aware navigation. As an effort to aid more productive development and progress comparisons, in this paper we review the evaluation methods, scenarios, datasets, and metrics commonly used in previous socially-aware navigation research, discuss the limitations of existing evaluation protocols, and highlight research opportunities for advancing socially-aware robot navigation. Frontiers Media S.A. 2022-01-12 /pmc/articles/PMC8791647/ /pubmed/35096978 http://dx.doi.org/10.3389/frobt.2021.721317 Text en Copyright © 2022 Gao and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Gao, Yuxiang
Huang, Chien-Ming
Evaluation of Socially-Aware Robot Navigation
title Evaluation of Socially-Aware Robot Navigation
title_full Evaluation of Socially-Aware Robot Navigation
title_fullStr Evaluation of Socially-Aware Robot Navigation
title_full_unstemmed Evaluation of Socially-Aware Robot Navigation
title_short Evaluation of Socially-Aware Robot Navigation
title_sort evaluation of socially-aware robot navigation
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791647/
https://www.ncbi.nlm.nih.gov/pubmed/35096978
http://dx.doi.org/10.3389/frobt.2021.721317
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