Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jake Brawer"'
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2023)
Using human tools can significantly benefit robots in many application domains. Such ability would allow robots to solve problems that they were unable to without tools. However, robot tool use is a challenging task. Tool use was initially considered
Externí odkaz:
https://doaj.org/article/244f7ba9a374481892f3e049eb50426a
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Many real-world applications require robots to use tools. However, robots lack the skills necessary to learn and perform many essential tool-use tasks. To this end, we present the TRansferrIng Skilled Tool Use Acquired Rapidly (TRI-STAR) framework fo
Externí odkaz:
https://doaj.org/article/cc042bda44d84b7981a1d37bcac36668
Autor:
Jake Brawer, Debasmita Ghose, Kate Candon, Meiying Qin, Alessandro Roncone, Marynel Vázquez, Brian Scassellati
Publikováno v:
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::345e972c6a5e809368412465193e8d45
https://doi.org/10.1145/3568162.3576983
https://doi.org/10.1145/3568162.3576983
Publikováno v:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b295532e30df465d07926a11f644e03f
https://doi.org/10.1109/ro-man53752.2022.9900599
https://doi.org/10.1109/ro-man53752.2022.9900599
Publikováno v:
AAAI
The ability for autonomous agents to learn and conform to human norms is crucial for their safety and effectiveness in social environments. While recent work has led to frameworks for the representation and inference of simple social rules, research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e90ad42616ae9c7b50f3a8972be7ce
https://doi.org/10.1609/aaai.v33i01.33018058
https://doi.org/10.1609/aaai.v33i01.33018058
Publikováno v:
IROS
While abstract knowledge like cause-and-effect relations enables robots to problem-solve in new environments, acquiring such knowledge remains out of reach for many traditional machine learning techniques. In this work, we introduce a method for a ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5485cb95ecb5c9d17d662d967a8ed248
https://doi.org/10.1109/iros45743.2020.9341262
https://doi.org/10.1109/iros45743.2020.9341262
Publikováno v:
IROS
Research in human teamwork shows that a key element of fluid and fluent interactions is the interpretation of implicit verbal and non-verbal cues in context. This poses an issue to robotic platforms, however, as they have historically worked best whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::222e4d2fec0cf804915686fa95620935
https://doi.org/10.1109/iros.2018.8593942
https://doi.org/10.1109/iros.2018.8593942
Autor:
Melissa Malzkuhn, David Traum, Geo Kartheiser, Katherine M. Tsui, Arcangelo Merla, Barbara Manini, Laura-Ann Petitto, Adam Stone, Brian Scassellati, Setareh Nasihati Gilani, Ari Shapiro, Jake Brawer
Publikováno v:
CHI
Children with insufficient exposure to language during critical developmental periods in infancy are at risk for cognitive, language, and social deficits [55]. This is especially difficult for deaf infants, as more than 90% are born to hearing parent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a0b86f5103fec95de1fabc25d62ccb6
https://doi.org/10.1145/3173574.3174127
https://doi.org/10.1145/3173574.3174127
Publikováno v:
Frontiers in Robotics and AI. 4
The genetic operators of recombination, mutation, and selection are commonly included in studies of evolution and evolvability, but they are not the only operators that can affect the genotype-to-phenotype (G→P) map and thus the outcomes of evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9de47827f1256bbec955bbe92ae1098
https://doi.org/10.3389/frobt.2017.00001
https://doi.org/10.3389/frobt.2017.00001
Publikováno v:
ACM/IEEE International Conference on Human-Robot Interaction; Mar2021, p43-52, 10p