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dc.contributor.author | Rajpathak, Kaustubh | |
dc.contributor.author | Kodur, Krishna Chaitanya | |
dc.contributor.author | Kyrarini, Maria | |
dc.contributor.author | Makedon, Fillia | |
dc.date.accessioned | 2023-07-25T16:24:40Z | |
dc.date.available | 2023-07-25T16:24:40Z | |
dc.date.issued | 2021-07-02 | |
dc.identifier.uri | http://hdl.handle.net/10106/31589 | |
dc.description.abstract | This paper showcases a developed end-user framework for a humanrobot collaborative system for common tasks, such as pick and
place. The system is designed for semi-automated pick and place
tasks as well as manual operation making it flexible for multiple
use-case scenarios. The goal of the system is to make the robot
multi-functional, easy to use with a graphical user interface and
to perform common tasks with the help of a human teammate.
Integration with object recognition neural network (YoloV3) and
an RGB-Depth camera helps automate pick and place tasks with a
wide variety of objects. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ACM | en_US |
dc.subject | Health Care, Robots, Framework | en_US |
dc.title | End-User Framework for Robot Control | en_US |
dc.type | Article | en_US |
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