Industrial Human-Robot Collaboration

Mark Philip Philipsen; Matthias Rehm; Thomas B. Moeslund

doi:10.21437/AI-MHRI.2018-9

Industrial Human-Robot Collaboration

Mark Philip Philipsen, Matthias Rehm, Thomas B. Moeslund

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstrakt

In the future, robots are envisioned to work side by side with humans in dynamic environments both in production contexts but also more and more in societal context like health care, education, or commerce. This will require robots to become socially accepted, to become able to analyze human intentions in meaningful ways, and to become proactive. It is our conviction that this can only be achieved on the basis of a tight combination of multimodal signal processing and AI techniques in real application context.

Originalsprog	Engelsk
Titel	Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction
Publikationsdato	jul. 2018
Sider	35-38
DOI	https://doi.org/10.21437/AI-MHRI.2018-9
Status	Udgivet - jul. 2018
Begivenhed	The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018 - Stockholm, Sverige Varighed: 14 jul. 2018 → 15 jul. 2018 https://ai-mhri.github.io

Konference

Konference	The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018
Land	Sverige
By	Stockholm
Periode	14/07/2018 → 15/07/2018
Internetadresse	https://ai-mhri.github.io

Adgang til dokumentet

10.21437/AI-MHRI.2018-9

Industrial Human-Robot Collaboration AI_MHRIAccepteret manuskript, 3,42 MB

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1 Afsluttet

Applications of Vision and Robotics in Meat Production
Philipsen, M. P., Moeslund, T. B. & Søndergaard Jensen, C.
02/01/2017 → 31/01/2020
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{3acf09f8a69a461ebdeb855d58fcf1e8,

title = "Industrial Human-Robot Collaboration",

abstract = "In the future, robots are envisioned to work side by side with humans in dynamic environments both in production contexts but also more and more in societal context like health care, education, or commerce. This will require robots to become socially accepted, to become able to analyze human intentions in meaningful ways, and to become proactive. It is our conviction that this can only be achieved on the basis of a tight combination of multimodal signal processing and AI techniques in real application context.",

keywords = "Human Robot Collaboration, multi-modal signal processing, machine learning",

author = "Philipsen, {Mark Philip} and Matthias Rehm and Moeslund, {Thomas B.}",

year = "2018",

month = jul,

doi = "10.21437/AI-MHRI.2018-9",

language = "English",

pages = "35--38",

booktitle = "Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction",

note = "The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018 ; Conference date: 14-07-2018 Through 15-07-2018",

url = "https://ai-mhri.github.io",

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N2 - In the future, robots are envisioned to work side by side with humans in dynamic environments both in production contexts but also more and more in societal context like health care, education, or commerce. This will require robots to become socially accepted, to become able to analyze human intentions in meaningful ways, and to become proactive. It is our conviction that this can only be achieved on the basis of a tight combination of multimodal signal processing and AI techniques in real application context.

AB - In the future, robots are envisioned to work side by side with humans in dynamic environments both in production contexts but also more and more in societal context like health care, education, or commerce. This will require robots to become socially accepted, to become able to analyze human intentions in meaningful ways, and to become proactive. It is our conviction that this can only be achieved on the basis of a tight combination of multimodal signal processing and AI techniques in real application context.

KW - Human Robot Collaboration

KW - multi-modal signal processing

KW - machine learning

U2 - 10.21437/AI-MHRI.2018-9

DO - 10.21437/AI-MHRI.2018-9

M3 - Article in proceeding

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BT - Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction

T2 - The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018

Y2 - 14 July 2018 through 15 July 2018

ER -

Industrial Human-Robot Collaboration

Abstrakt

Konference

Adgang til dokumentet

Applications of Vision and Robotics in Meat Production

Citationsformater