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casa 24(1):

Research Article

Study of Robot Manipulator Control via Remote Method

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  • @ARTICLE{10.4108/eetcasa.v9i1.3884,
        author={Tuan Nguyen },
        title={Study of Robot Manipulator Control via Remote Method},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={9},
        number={1},
        publisher={EAI},
        journal_a={CASA},
        year={2023},
        month={9},
        keywords={Robotics, Intelligent System, Motion Control, Complex System},
        doi={10.4108/eetcasa.v9i1.3884}
    }
    
  • Tuan Nguyen
    Year: 2023
    Study of Robot Manipulator Control via Remote Method
    CASA
    EAI
    DOI: 10.4108/eetcasa.v9i1.3884
Tuan Nguyen 1,*
  • 1: Tien Giang University
*Contact email: bryan.nguyen3004@gmail.com

Abstract

INTRODUCTION: The study introduces a novel approach to the design and management of industrial robots using virtual reality technology, enabling humans to observe a wide range of robot behaviors across various environments. OBJECTIVES: Through a simulation program, the robot's movements can be reviewed, and a program for real-world task execution can be generated. Furthermore, the research delves into the algorithm governing the interaction between the industrial robot and humans. METHODS: The robot utilized in this research project has been meticulously refurbished and enhanced from the previously old version robotic manipulator, which lacked an electrical cabinet derived. RESULTS: Following the mechanical and electrical upgrades, a virtual setup, incorporating a headset and two hand controllers, has been integrated into the robot's control system, enabling control via this device. CONCLUSION: This control algorithm leverages a shared control approach and artificial potential field methods to facilitate obstacle avoidance through repulsive and attractive forces. Ultimately, the study presents experimental results using the real robot model.

Keywords
Robotics, Intelligent System, Motion Control, Complex System
Received
2023-09-15
Accepted
2023-09-22
Published
2023-09-25
Publisher
EAI
http://dx.doi.org/10.4108/eetcasa.v9i1.3884

Copyright © 2023 T. Nguyen, licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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