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Accepted for/Published in: JMIR Biomedical Engineering

Date Submitted: Jan 23, 2022
Date Accepted: Apr 26, 2022

The final, peer-reviewed published version of this preprint can be found here:

A Novel Framework for Mixed Reality–Based Control of Collaborative Robot: Development Study

Shahria MT, Sunny MSH, Zarif MII, Khan MMR, Modi PP, Ahamed SI, Rahman MH

A Novel Framework for Mixed Reality–Based Control of Collaborative Robot: Development Study

JMIR Biomed Eng 2022;7(1):e36734

DOI: 10.2196/36734

PMID: 38875679

PMCID: 11041473

A Novel Framework for Mixed Reality-Based Control of Collaborative Robot

  • Md Tanzil Shahria; 
  • Md Samiul Haque Sunny; 
  • Md Ishrak Islam Zarif; 
  • Md Mahafuzur Rahaman Khan; 
  • Preet Parag Modi; 
  • Sheikh Iqbal Ahamed; 
  • Mohammad H Rahman

ABSTRACT

Background:

Applications of robotics in daily life are becoming essential by creating new possibilities in different fields, especially in the collaborative environment. The potentials of collaborative robots are tremendous as they can work in the same workspace as humans. A framework employing a top-notch technology for collaborative robots will surely be worthwhile for further research.

Objective:

The objective of this study is to present the development of a novel framework for the collaborative robot using mixed reality.

Methods:

The framework utilizes Unity and Unity Hub as a cross-platform gaming engine and project management tool to design the mixed-reality interface and digital twin. It also uses the Windows Mixed Reality platform to show digital materials on holographic display and the Azure mixed reality services to capture and expose digital information. Eventually, it uses a holographic device (HoloLens 2) to execute the mixed reality-based collaborative system.

Results:

A thorough experiment was conducted to validate the novel framework for mixed reality-based control of a collaborative robot. This framework was successfully applied to implement a collaborative system using a 5 degree of freedom robot (xArm-5) in a mixed reality environment. Due to the distributed nature of cloud applications, there is a negligible latency between giving a command and the execution of the physical collaborative robot. The framework was stable and worked smoothly throughout the collaborative session.

Conclusions:

Opportunities for collaborative robots in telerehabilitation and teleoperation are quite vital like any other field. The proposed framework was successfully applied in a collaborative session, and it can also be applied in other similar potential applications for robust and more promising performance.


 Citation

Please cite as:

Shahria MT, Sunny MSH, Zarif MII, Khan MMR, Modi PP, Ahamed SI, Rahman MH

A Novel Framework for Mixed Reality–Based Control of Collaborative Robot: Development Study

JMIR Biomed Eng 2022;7(1):e36734

DOI: 10.2196/36734

PMID: 38875679

PMCID: 11041473

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