Multi-modal proactive approaching of humans for human-robot cooperative tasks

Lakshadeep Naik*, Oskar Palinko, Leon Bodenhagen, Norbert Kruger

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Abstract

In this paper, we present a method for proactive approaching of humans for human-robot cooperative tasks such as a robot serving beverages to people. The proposed method can deal robustly with the uncertainties in the robot's perception while also ensuring socially acceptable behavior. We use multiple modalities in the form of the robot's motion, body orientation, speech and gaze to proactively approach humans. Further, we present a behavior tree based control architecture to efficiently integrate these different modalities. The proposed method was successfully integrated and tested on a beverage serving robot. We present the findings of our experiments and discuss possible extensions to address limitations.

OriginalsprogEngelsk
Titel2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
ForlagIEEE
Publikationsdato8. aug. 2021
Sider323-329
ISBN (Elektronisk)9781665404921
DOI
StatusUdgivet - 8. aug. 2021
Begivenhed30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 - Virtual, Vancouver, Canada
Varighed: 8. aug. 202112. aug. 2021

Konference

Konference30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Land/OmrådeCanada
ByVirtual, Vancouver
Periode08/08/202112/08/2021

Bibliografisk note

Funding Information:
This work was funded by the Innovation Fund Denmark in the context of the SMOOTH project (Seamless huMan-robot interactiOn fOr THe support of elderly people) and VolkswagenStiftung in the context of the RethiCare project.

Publisher Copyright:
© 2021 IEEE.

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