Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Roshni Kaushik"'
Autor:
Roshni Kaushik, Reid Simmons
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_________::64b4ca2aeb22fddb7d755815880446dc
https://doi.org/10.1109/ro-man53752.2022.9900654
https://doi.org/10.1109/ro-man53752.2022.9900654
Autor:
Amy LaViers, Roshni Kaushik
Publikováno v:
International Journal of Social Robotics. 11:765-782
Robots cannot exactly replicate human motion, especially for low degree-of-freedom (DOF) robots, but perceptual imitation has been accomplished. Nevertheless, the multiple mappings between human and robot bodies continue to present questions around w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b61f6a804ea40edd68eaf7c48e189d3
https://doi.org/10.1007/s12369-019-00595-y
https://doi.org/10.1007/s12369-019-00595-y
Autor:
Roshni Kaushik, Reid Simmons
Publikováno v:
HRI (Companion)
Displaying emotional states is an important part of nonverbal communication that can facilitate successful interactions. Facial expressions have been studied for their emotional expression, but this work looks at the capacity of body movements to con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5097fec5288d7064b33675e0f5790527
https://doi.org/10.1145/3434074.3447129
https://doi.org/10.1145/3434074.3447129
Autor:
Reid Simmons, Roshni Kaushik
Publikováno v:
Social Robotics ISBN: 9783030905248
ICSR
ICSR
Intelligent tutoring systems have great potential in personalizing the educational experience by processing some key features from the user and educational task to optimize learning, engagement, or other performance measures. This paper presents an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07716efae73cfaa07feec27576b29df8
https://doi.org/10.1007/978-3-030-90525-5_26
https://doi.org/10.1007/978-3-030-90525-5_26
Publikováno v:
MOCO
Socially intelligent robots are a priority for large manufacturing companies that want to deploy collaborative robots in many countries around the world. This paper presents an approach to robot motion generation in which a human demonstration is imi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc2a169ed4d0f6944b90ba28a2e1c01a
https://doi.org/10.1145/3401956.3404188
https://doi.org/10.1145/3401956.3404188
Publikováno v:
MOCO
Working towards the goal of understanding complex, interactive movement in human dyads, this paper presents a model for analyzing motion capture data of human pairs and proposes measures that correlate with features of the coordination in the movemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55127cb21ef6cd320cf4a400d20b05f
https://doi.org/10.1145/3212721.3212805
https://doi.org/10.1145/3212721.3212805
Autor:
Roshni Kaushik, Amy LaViers
Publikováno v:
Social Robotics ISBN: 9783030052034
ICSR
ICSR
Imitating human motion on robotic platforms is a task which requires ignoring some information about the original human mover as robots have fewer degrees of freedom than a human. In an effort to generate low degree of freedom motion profiles based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ad7a175f34fab00a05c690629ccb603
https://doi.org/10.1007/978-3-030-05204-1_58
https://doi.org/10.1007/978-3-030-05204-1_58
Publikováno v:
Humanoids
We present a novel geometric framework for intuitively encoding and learning a wide range of trajectory-based skills from human demonstrations. Our approach identifies and extracts the main characteristics of the demonstrated skill, which are spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5557f028c1c1cb856e8edd887b01f610
https://doi.org/10.1109/humanoids.2016.7803328
https://doi.org/10.1109/humanoids.2016.7803328