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Evaluation of Socially-Aware Robot Navigation.
Gao, Yuxiang; Huang, Chien-Ming.
Afiliação
  • Gao Y; Department of Computer Science, The Johns Hopkins University, Baltimore, MD, United States.
  • Huang CM; Department of Computer Science, The Johns Hopkins University, Baltimore, MD, United States.
Front Robot AI ; 8: 721317, 2021.
Article em En | MEDLINE | ID: mdl-35096978
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article