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dc.contributor.authorRajpathak, Kaustubh
dc.contributor.authorKodur, Krishna Chaitanya
dc.contributor.authorKyrarini, Maria
dc.contributor.authorMakedon, Fillia
dc.date.accessioned2023-07-25T16:24:40Z
dc.date.available2023-07-25T16:24:40Z
dc.date.issued2021-07-02
dc.identifier.urihttp://hdl.handle.net/10106/31589
dc.description.abstractThis 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.isoen_USen_US
dc.publisherACMen_US
dc.subjectHealth Care, Robots, Frameworken_US
dc.titleEnd-User Framework for Robot Controlen_US
dc.typeArticleen_US


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