Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Opheij A"'
Autor:
Arango, Felipe Bernal, Alpeggiani, Filippo, Conteduca, Donato, Opheij, Aron, Chen, Aobo, Abdelrahman, Mohamed I., Krauss, Thomas, Alu, Andrea, Monticone, Francesco, Kuipers, L.
Near-field scanning optical microscopy is a powerful technique for imaging below the diffraction limit, which has been extensively used in bio-medical imaging and nanophotonics. However, when the electromagnetic fields under measurement are strongly
Externí odkaz:
http://arxiv.org/abs/2201.00266
Autor:
Barros, Pablo, Bloem, Anne C., Hootsmans, Inge M., Opheij, Lena M., Toebosch, Romain H. A., Barakova, Emilia, Sciutti, Alessandra
To achieve social interactions within Human-Robot Interaction (HRI) environments is a very challenging task. Most of the current research focuses on Wizard-of-Oz approaches, which neglect the recent development of intelligent robots. On the other han
Externí odkaz:
http://arxiv.org/abs/2003.05861
Autor:
Barros, Pablo, Sciutti, Alessandra, Bloem, Anne C., Hootsmans, Inge M., Opheij, Lena M., Toebosch, Romain H. A., Barakova, Emilia
Emotional expressions and their changes during an interaction affect heavily how we perceive and behave towards other persons. To design an HRI scenario that makes possible to observe, understand, and model affective interactions and generate the app
Externí odkaz:
http://arxiv.org/abs/2002.11458
Autor:
Pablo Barros, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia Barakova, Alessandra Sciutti
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Reinforcement learning simulation environments pose an important experimental test bed and facilitate data collection for developing AI-based robot applications. Most of them, however, focus on single-agent tasks, which limits their application to th
Externí odkaz:
https://doaj.org/article/a79012560f524be997069af0fbe9ca89
Autor:
Felipe Bernal Arango, Filippo Alpeggiani, Donato Conteduca, Aron Opheij, Aobo Chen, Mohamed I. Abdelrahman, Thomas F. Krauss, Andrea Alù, Francesco Monticone, Laurens Kuipers
Publikováno v:
Optica, 9(7)
Near-field scanning optical microscopy is a powerful technique for imaging below the diffraction limit, which has been extensively used in biomedical imaging and nanophotonics. However, when the electromagnetic fields under measurement are strongly c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::143c684e7f916d8759e10f655f06e11e
Reinforcement learning simulation environments pose an important experimental testbed and facilitate data collection for developing AI-based robot applications. Most of them, however, focus on single-agent tasks, which limits their application to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::dd01779a4cdc706cda74aea3fa9b815a
https://zenodo.org/record/5626142
https://zenodo.org/record/5626142
Autor:
Wilfrid Opheij, Astrid van Dijk
Publikováno v:
Zorgvisie. 49:30-35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9e09913a5571bff77490130a1b48243
https://doi.org/10.1007/s41187-018-0184-7
https://doi.org/10.1007/s41187-018-0184-7
Autor:
Pablo V. A. Barros, Inge M. Hootsmans, Emilia I. Barakova, Romain H. A. Toebosch, Lena M. Opheij, Alessandra Sciutti, Anne C. Bloem
Publikováno v:
HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 524-528
STARTPAGE=524;ENDPAGE=528;TITLE=HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
STARTPAGE=524;ENDPAGE=528;TITLE=HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
This paper describes the design of an interactive game between humans and a robot that makes it possible to observe, analyze, and model competitive strategies and affective interactions with the aim to dynamically generate appropriate responses or in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ff38fe3c3c297e2588298844a04026
https://research.tue.nl/nl/publications/016b97c9-d6ad-4a33-b726-6c04517d2b8d
https://research.tue.nl/nl/publications/016b97c9-d6ad-4a33-b726-6c04517d2b8d
Publikováno v:
International Journal of Integrated Care, Vol 13, Iss 1 (2013)
Introduction: Primary care has a central role in integrating care within a health system. However, conceptual ambiguity regarding integrated care hampers a systematic understanding. This paper proposes a conceptual framework that combines the concept
Externí odkaz:
https://doaj.org/article/701cb2f072a6464890c3e3153c38f229
Autor:
Inge M. Hootsmans, Emilia I. Barakova, Pablo V. A. Barros, Matthias Kerzel, Romain H. A. Toebosch, Anne C. Bloem, Lena M. Opheij
Publikováno v:
HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 142-144
STARTPAGE=142;ENDPAGE=144;TITLE=HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
STARTPAGE=142;ENDPAGE=144;TITLE=HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
This paper is the first step of an attempt to equip social robots with emotion recognition capabilities comparable to those of humans. Most of the recent deep learning solutions for facial expression recognition under-perform when deployed in Human-R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043800693729f87b6d1fe394d25291dc
https://research.tue.nl/en/publications/95c7f8d4-64ee-458f-99a0-5c4fe8bfedce
https://research.tue.nl/en/publications/95c7f8d4-64ee-458f-99a0-5c4fe8bfedce