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Evaluation of Socially-Aware Robot Navigation

Yuxiang Gao, Chien‐Ming Huang

Year
2022
Citations
98
Access
Open access

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.

Keywords

Computer scienceRobotMobile robot navigationHuman–computer interactionMobile robotArtificial intelligenceRobot control

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