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pro vyhledávání: '"Long term human robot interaction"'
Akademický článek
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Publikováno v:
Paladyn, Vol 12, Iss 1, Pp 31-46 (2020)
Autism spectrum disorder (ASD) is a lifelong developmental condition that affects an individual’s ability to communicate and relate to others. Despite such challenges, early intervention during childhood development has shown to have positive long-
Externí odkaz:
https://doaj.org/article/0506affe5d884405b4d095550c38daff
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
While earlier research in human-robot interaction pre-dominantly uses rule-based architectures for natural language interaction, these approaches are not flexible enough for long-term interactions in the real world due to the large variation in user
Externí odkaz:
https://doaj.org/article/90efe248946f41cabf13c99ced1f17d0
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Long-term human-robot interaction requires the continuous acquisition of knowledge. This ability is referred to as lifelong learning (LL). LL is a long-standing challenge in machine learning due to catastrophic forgetting, which states that continuou
Externí odkaz:
https://doaj.org/article/bb8cd428f2d14cfb9888eba66546884b
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
COVID-19 pandemic has affected the population worldwide, evidencing new challenges and opportunities for several kinds of emergent and existing technologies. Social Assistive Robotics could be a potential tool to support clinical care areas, promotin
Externí odkaz:
https://doaj.org/article/4ca385d62e4e409888122919254faf50
Autor:
Caitlyn Clabaugh, Kartik Mahajan, Shomik Jain, Roxanna Pakkar, David Becerra, Zhonghao Shi, Eric Deng, Rhianna Lee, Gisele Ragusa, Maja Matarić
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Socially assistive robots (SAR) have shown great potential to augment the social and educational development of children with autism spectrum disorders (ASD). As SAR continues to substantiate itself as an effective enhancement to human intervention,
Externí odkaz:
https://doaj.org/article/1dcc4fdaaabd499990cfc8c80b4291ce
Publikováno v:
Paladyn: Journal of Behavioral Robotics, Vol 12, Iss 1, Pp 31-46 (2020)
Autism spectrum disorder (ASD) is a lifelong developmental condition that affects an individual’s ability to communicate and relate to others. Despite such challenges, early intervention during childhood development has shown to have positive long-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7201a842455a3a6ae3c003a9769eb09d
https://doaj.org/article/0506affe5d884405b4d095550c38daff
https://doaj.org/article/0506affe5d884405b4d095550c38daff
Autor:
Konstantinos E. Papoutsakis, Damien Michel, Markus Bajones, Håkan Eftring, Markus Vincze, Michalis Foukarakis, Astrid Weiss, Asterios Leonidis, David Fischinger, Ilia Adami, Paschalis Panteleris, Daniel Wolf, Peter Mayer, Tobias Körtner, Paul Panek, Markus Weninger, Margherita Antona, Ammar Qammaz, Susanne Frennert, Danae Ioannidi, Antonis A. Argyros, Paloma de la Puente
Publikováno v:
ACM Transactions on Human-Robot Interaction, ISSN 2573-9522, 2019-12, Vol. 9, No. 2
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
In this article, we present results obtained from field trials with the Hobbit robotic platform, an assistive, social service robot aiming at enabling prolonged independent living of older adults in their own homes. Our main contribution lies within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129e60cfde2efca1eb21efa88ac73492
https://doi.org/10.1145/3368554
https://doi.org/10.1145/3368554
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Frontiers in Neurorobotics
Frontiers in Neurorobotics
Long-term human-robot interaction requires the continuous acquisition of knowledge. This ability is referred to as lifelong learning (LL). LL is a long-standing challenge in machine learning due to catastrophic forgetting, which states that continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e6230f24832e8364375d7d06d7a11a0
https://www.frontiersin.org/articles/10.3389/fnbot.2021.669534/full
https://www.frontiersin.org/articles/10.3389/fnbot.2021.669534/full
Autor:
Oya Celiktutan, Frank Kaptein, Antoine Cully, Bernd Kiefer, Michael van Bekkum, Bert Bierman, Yiannis Demiris, Joost Broekens, Mark A. Neerincx, Rifca Rijgersberg-peters, Willeke van Vught
Publikováno v:
ACM Transactions on Human-Robot Interaction, 11(1)
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb22c733eef13f63fc0456f7598676fe
http://hdl.handle.net/10044/1/95709
http://hdl.handle.net/10044/1/95709
