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An Integrated Remote Control-Based Human-Robot Interface for Education Application

An Integrated Remote Control-Based Human-Robot Interface for Education Application

Xue-xi Duan, Yun-ling Wang, Wei-shan Dou, Rajeev Kumar, Nitin Saluja
Copyright: © 2022 |Volume: 17 |Issue: 1 |Pages: 18
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781799894001|DOI: 10.4018/IJITWE.306916
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MLA

Duan, Xue-xi, et al. "An Integrated Remote Control-Based Human-Robot Interface for Education Application." IJITWE vol.17, no.1 2022: pp.1-18. http://doi.org/10.4018/IJITWE.306916

APA

Duan, X., Wang, Y., Dou, W., Kumar, R., & Saluja, N. (2022). An Integrated Remote Control-Based Human-Robot Interface for Education Application. International Journal of Information Technology and Web Engineering (IJITWE), 17(1), 1-18. http://doi.org/10.4018/IJITWE.306916

Chicago

Duan, Xue-xi, et al. "An Integrated Remote Control-Based Human-Robot Interface for Education Application," International Journal of Information Technology and Web Engineering (IJITWE) 17, no.1: 1-18. http://doi.org/10.4018/IJITWE.306916

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Abstract

Portable interfaced robot arms equipped with mobile user interactions are significantly being utilized in modern world. The application of teaching robotics is being used in challenging pandemic situation but it is still challenging due to mathematical formulation. This article utilizes the augmented reality (AR) concept for remote control-based human-robot interaction using the Bluetooth correspondence. The proposed framework incorporates different modules like a robot arm control, a regulator module and a distant portable smartphone application for envisioning the robot arm points for its real-time relevance. This novel approach fuses AR innovation into portable application which permit the continuous virtual coordination with actual physical platform. The simulation yields effective outcomes with 96.94% accuracy for testing stage while maintaining error and loss values of 0.194 and 0.183 respectively. The proposed interface gives consistent results for teaching application in real time changing environment by outperforming existing methods with an accuracy improvement of 13.4