Resumé
| Originalsprog | Engelsk |
|---|---|
| Titel | Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction |
| Publikationsdato | jul. 2018 |
| Sider | 35-38 |
| DOI | |
| 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 |
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Industrial Human-Robot Collaboration. / Philipsen, Mark Philip; Rehm, Matthias; Moeslund, Thomas B.
Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction. 2018. s. 35-38.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
TY - GEN
T1 - Industrial Human-Robot Collaboration
AU - Philipsen, Mark Philip
AU - Rehm, Matthias
AU - Moeslund, Thomas B.
PY - 2018/7
Y1 - 2018/7
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
SP - 35
EP - 38
BT - Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction
ER -