End-User Framework for Robot Control

被引：4

作者：

Rajpathak, Kaustubh ^{[1
]}

Kodur, Krishna Chaitanya ^{[1
]}

Kyrarini, Maria ^{[1
]}

Makedon, Fillia ^{[1
]}

机构：

[1] Univ Texas Arlington, Arlington, TX 76019 USA

来源：

THE 14TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2021 | 2021年

关键词：

D O I：

10.1145/3453892.3464894

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper showcases a developed end-user framework for a human-robot 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.

引用

页码：109 / 110

页数：2

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