Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Pamela Carreno-Medrano"'
Autor:
Enrique Coronado, Dominique Deuff, Pamela Carreno-Medrano, Leimin Tian, Dana Kulic, Shanti Sumartojo, Fulvio Mastrogiovanni, Gentiane Venture
Publikováno v:
IEEE Access, Vol 9, Pp 12675-12692 (2021)
In an effort towards the democratization of Robotics, this article presents a novel End-User Development framework called Robot Interfaces From Zero Experience (RIZE). The framework provides a set of useful software tools for the creation of robot-or
Externí odkaz:
https://doaj.org/article/3d3e146de2d442f581f747fef19a4d4a
Autor:
Dana Kulic, Michael Mintrom, Pamela Carreno-Medrano, Leimin Tian, Robert Lundberg, Shanti Sumartojo
Publikováno v:
Geoforum. 124:99-109
In this paper we discuss how people understand robots when they imagine relations with such technologies in near-future settings. We argue that imagination forms an important part of the assemblage of robotic technologies, because it is central in ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d86b7aec2b6a8946f8618ee85c6e21f
https://doi.org/10.1016/j.geoforum.2021.06.006
https://doi.org/10.1016/j.geoforum.2021.06.006
Autor:
Michael Mintrom, Leimin Tian, Pamela Carreno-Medrano, Aimee Allen, Dana Kulic, Shanti Sumartojo
Publikováno v:
Policy Design and Practice. 5:123-139
Rapid advances in digital technologies have allowed robots to become more autonomous and efficacious than ever before. Future developments in robotics hold the potential to transform human robot in...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d052a64b9be290c70a4a6719435e6552
https://doi.org/10.1080/25741292.2021.1905342
https://doi.org/10.1080/25741292.2021.1905342
Autor:
Shanti Sumartojo, Dominique Deuff, Fulvio Mastrogiovanni, Pamela Carreno-Medrano, Dana Kulic, Enrique Coronado, Leimin Tian, Gentiane Venture
Publikováno v:
IEEE Access, Vol 9, Pp 12675-12692 (2021)
In an effort towards the democratization of Robotics, this article presents a novel End-User Development framework called Robot Interfaces From Zero Experience (RIZE). The framework provides a set of useful software tools for the creation of robot-or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b751b169df4dd17025bb27f8fea8dc
https://ieeexplore.ieee.org/document/9323043/
https://ieeexplore.ieee.org/document/9323043/
Publikováno v:
Annual Reviews in Control. 51:111-129
Researchers in biomechanics, neuroscience, human–machine interaction and other fields are interested in inferring human intentions and objectives from observed actions. The problem of inferring objectives from observations has received extensive th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9a67636dd4bbdb556cc3d12b99a274
https://doi.org/10.1016/j.arcontrol.2021.04.003
https://doi.org/10.1016/j.arcontrol.2021.04.003
Publikováno v:
Social Robotics ISBN: 9783031246661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaa95edd1d34c449847c5a6fe26afc79
https://doi.org/10.1007/978-3-031-24667-8_5
https://doi.org/10.1007/978-3-031-24667-8_5
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab58a5754ffb30307ba2160f42c9def6
https://doi.org/10.1109/iros51168.2021.9636520
https://doi.org/10.1109/iros51168.2021.9636520
Publikováno v:
RO-MAN
This paper proposes a human-aware motion planner building on RRT-Connect, dubbed Human-Aware RRT-Connect. The planner considers a composite cost function that includes four criteria: human separation distance, human-robot center of mass distance, rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bfb952a20a10966e0e0001006b7764
https://doi.org/10.1109/ro-man50785.2021.9515421
https://doi.org/10.1109/ro-man50785.2021.9515421
Autor:
Shanti Sumartojo, Gentiane Venture, Elizabeth A. Croft, Aimee Allen, Enrique Coronado Zuniga, Dana Kulic, Leimin Tian, Michael Mintrom, Pamela Carreno-Medrano
Publikováno v:
CHI Extended Abstracts
People are increasingly encountering robots in public spaces. To increase the robustness of such in-the-wild robotic applications and to achieve their designed outcomes, existing research focuses on improving the technical reliability of robots and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53d06599f519e4f85eaee9e433652959
https://doi.org/10.1145/3411763.3443440
https://doi.org/10.1145/3411763.3443440
When a robot learns from human examples, most approaches assume that the human partner provides examples of optimal behavior. However, there are applications in which the robot learns from non-expert humans. We argue that the robot should learn not o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e8120ddbec6c5d1d153171dd45e4594
http://arxiv.org/abs/2011.04118
http://arxiv.org/abs/2011.04118