Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gopika Ajaykumar"'
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/9ee019461e9a4f4e9346682aca848a29
Autor:
Gopika Ajaykumar
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Autor:
Gopika Ajaykumar
Publikováno v:
ICMI
End-user programming methods that enable users who may not have programming or robotics experience to program robots have helped lower the barrier of entry for everyday people to use robots for their needs. However, popular end-user robot programming
As robots interact with a broader range of end-users, end-user robot programming has helped democratize robot programming by empowering end-users who may not have experience in robot programming to customize robots to meet their individual contextual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af9ed2f040b4932a46596342e21c3e5b
Publikováno v:
RO-MAN
Interaction conventions (e.g., using pinch gestures to zoom in and out) are designed to structure how users effectively work with an interactive technology. We contend in this paper that successful human-robot interactions may be achieved through an
Autor:
Gopika Ajaykumar, Chien-Ming Huang
Publikováno v:
HRI (Companion)
We report on a user study that sought to understand how users program robot tasks by direct demonstration and what problems they encounter when using a state-of-the-art robot programming interface to create and edit robot programs. We discuss how our
Publikováno v:
HRI
We explore first-person demonstration as an intuitive way of producing task demonstrations to facilitate user-centric robotic assistance. First-person demonstration directly captures the human experience of task performance via head-mounted cameras a
Publikováno v:
Robotics and Autonomous Systems. 145:103845
Just as end-user programming has helped make computer programming accessible for a variety of users and settings, end-user robot programming has helped empower end-users without specialized knowledge or technical skills to customize robotic assistanc