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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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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.

Original language	English
Title of host publication	Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction
Publication date	Jul 2018
Pages	35-38
DOIs	https://doi.org/10.21437/AI-MHRI.2018-9
Publication status	Published - Jul 2018
Event	The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018 - Stockholm, Sweden Duration: 14 Jul 2018 → 15 Jul 2018 https://ai-mhri.github.io

Conference

Conference	The Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI) workshop 2018
Country/Territory	Sweden
City	Stockholm
Period	14/07/2018 → 15/07/2018
Internet address	https://ai-mhri.github.io

Keywords

Human Robot Collaboration
multi-modal signal processing
machine learning

Access to Document

10.21437/AI-MHRI.2018-9

Industrial Human-Robot Collaboration AI_MHRIAccepted author manuscript, 3.42 MB

AUB Link

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

Cite this

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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",

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

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

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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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EP - 38

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

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Keywords

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Projects

Applications of Vision and Robotics in Meat Production

Cite this