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Research on Mobile User Interface for Robot Arm Remote Control in Industrial Application
Author(s) -
Jiangnan Ni,
Vipin Balyan
Publication year - 2021
Publication title -
scalable computing. practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.192
H-Index - 18
ISSN - 1895-1767
DOI - 10.12694/scpe.v22i2.1900
Subject(s) - mobile robot , robotic arm , robot , controller (irrigation) , computer science , real time computing , simulation , trajectory , interface (matter) , industrial robot , remote control , smt placement equipment , embedded system , artificial intelligence , computer hardware , operating system , physics , bubble , astronomy , maximum bubble pressure method , agronomy , biology
The mobile interfaced robot arms are majorly being used nowadays in order to provide the remote-control applicability for various industrial and manufacturing applications. This article proposes a robotic arm platform for controlling the industrial application. The proposed system includes various modules like a robot arm, a controller module and a remote mobile operating application for visualizing the robot arm angles having real time applicability. Augmented reality (AR) is utilized for robot control WIFI communication and the robot angle information is obtained for varying real time environment. This novel approach incorporated the AR technology into mobile application which allow the real time virtual coordination with physical platform. The feasible trajectories are generated using the proposed methodology and a comparison is made between the desired and real trajectory paths. The simulation results are obtained for various assessment indicators and effectual outcomes are achieved with 98.03% accuracy value and 0.185, 0.180 of error and loss values for training phase. The accuracy value of 97.65% is achieved for testing phase with corresponding 0.209 and 0.190 minimum error and loss values. The proposed platform provides the feasible and reliable outcomes in the real time environment for real time manufacturing industry applications.

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