Enabling robots to adhere to social norms by detecting F-formations

Avgi Kollakidou; Lakshadeep Naik; Oskar Palinko; Leon Bodenhagen

doi:10.1109/RO-MAN50785.2021.9515484

Enabling robots to adhere to social norms by detecting F-formations

Avgi Kollakidou^*, Lakshadeep Naik, Oskar Palinko, Leon Bodenhagen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Robot navigation in environments shared with humans should take into account social structures and interactions. The identification of social groups has been a challenge for robotics as it encompasses a number of disciplines. We propose a hierarchical clustering method for grouping individuals into free standing conversational groups (FSCS), utilising their position and orientation. The proposed method is evaluated on the SALSA dataset with achieved F1 score of 0.94. The algorithm is also evaluated for scalability and implemented on a mobile robot attempting to detect social groups and engage in interaction.

Original language	English
Title of host publication	2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Publisher	IEEE
Publication date	8. Aug 2021
Pages	110-116
ISBN (Electronic)	9781665404921
DOIs	https://doi.org/10.1109/RO-MAN50785.2021.9515484
Publication status	Published - 8. Aug 2021
Event	30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 - Virtual, Vancouver, Canada Duration: 8. Aug 2021 → 12. Aug 2021

Conference

Conference	30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Country/Territory	Canada
City	Virtual, Vancouver
Period	08/08/2021 → 12/08/2021

Series	Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN)
ISSN	1944-9445

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10.1109/RO-MAN50785.2021.9515484

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1 Ph.D. thesis

Situational Awareness and Acceptability of Robots in Shared Environments
Kollakidou, A., 11. Oct 2024, Syddansk Universitet. Det Tekniske Fakultet. 219 p.
Research output: Thesis › Ph.D. thesis

Cite this

@inproceedings{888839f0ac3c4b45b02ee8c116c7fbfc,

title = "Enabling robots to adhere to social norms by detecting F-formations",

abstract = "Robot navigation in environments shared with humans should take into account social structures and interactions. The identification of social groups has been a challenge for robotics as it encompasses a number of disciplines. We propose a hierarchical clustering method for grouping individuals into free standing conversational groups (FSCS), utilising their position and orientation. The proposed method is evaluated on the SALSA dataset with achieved F1 score of 0.94. The algorithm is also evaluated for scalability and implemented on a mobile robot attempting to detect social groups and engage in interaction.",

author = "Avgi Kollakidou and Lakshadeep Naik and Oskar Palinko and Leon Bodenhagen",

note = "Funding Information: ACKNOWLEDGMENT This research was supported by the project Health-CAT, funded by the European Fund for regional development. Publisher Copyright: {\textcopyright} 2021 IEEE.; 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 ; Conference date: 08-08-2021 Through 12-08-2021",

year = "2021",

month = aug,

day = "8",

doi = "10.1109/RO-MAN50785.2021.9515484",

language = "English",

series = "Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN)",

publisher = "IEEE",

pages = "110--116",

booktitle = "2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021",

address = "United States",

}

Kollakidou, A, Naik, L, Palinko, O & Bodenhagen, L 2021, Enabling robots to adhere to social norms by detecting F-formations. in 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021. IEEE, Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN), pp. 110-116, 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, Virtual, Vancouver, Canada, 08/08/2021. https://doi.org/10.1109/RO-MAN50785.2021.9515484

Enabling robots to adhere to social norms by detecting F-formations. / Kollakidou, Avgi; Naik, Lakshadeep; Palinko, Oskar et al.
2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021. IEEE, 2021. p. 110-116 (Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN)).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Enabling robots to adhere to social norms by detecting F-formations

AU - Kollakidou, Avgi

AU - Naik, Lakshadeep

AU - Palinko, Oskar

AU - Bodenhagen, Leon

PY - 2021/8/8

Y1 - 2021/8/8

N2 - Robot navigation in environments shared with humans should take into account social structures and interactions. The identification of social groups has been a challenge for robotics as it encompasses a number of disciplines. We propose a hierarchical clustering method for grouping individuals into free standing conversational groups (FSCS), utilising their position and orientation. The proposed method is evaluated on the SALSA dataset with achieved F1 score of 0.94. The algorithm is also evaluated for scalability and implemented on a mobile robot attempting to detect social groups and engage in interaction.

AB - Robot navigation in environments shared with humans should take into account social structures and interactions. The identification of social groups has been a challenge for robotics as it encompasses a number of disciplines. We propose a hierarchical clustering method for grouping individuals into free standing conversational groups (FSCS), utilising their position and orientation. The proposed method is evaluated on the SALSA dataset with achieved F1 score of 0.94. The algorithm is also evaluated for scalability and implemented on a mobile robot attempting to detect social groups and engage in interaction.

U2 - 10.1109/RO-MAN50785.2021.9515484

DO - 10.1109/RO-MAN50785.2021.9515484

M3 - Article in proceedings

AN - SCOPUS:85115082840

T3 - Proceedings - IEEE International Workshop on Robot and Human Communication (ROMAN)

SP - 110

EP - 116

BT - 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021

PB - IEEE

T2 - 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021

Y2 - 8 August 2021 through 12 August 2021

ER -

Enabling robots to adhere to social norms by detecting F-formations

Abstract

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Related research output

Situational Awareness and Acceptability of Robots in Shared Environments

Cite this