UniRoVE: Unified Robot Virtual Environment Framework

Author:

Zafra Navarro Alberto1ORCID,Rodriguez Juan Javier1,Igelmo García Victor2ORCID,Ruiz Zúñiga Enrique23ORCID,Garcia-Rodriguez Jose1ORCID

Affiliation:

1. Department of Computer Technology and Computation, University of Alicante, Carr. de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Spain

2. Production and Automation Engineering, University of Skövde, Högskolevägen, 54128 Skövde, Sweden

3. JSPS Research Fellow, Graduate School of Engineering, Kyoto University, C Cluster C3, Kyoto Daigaku Katsura, Nishikyo, Kyoto 615-8540, Japan

Abstract

With robotics applications playing an increasingly significant role in our daily lives, it is crucial to develop effective methods for teaching and understanding their behavior. However, limited access to physical robots in educational institutions and companies poses a significant obstacle for many individuals. To overcome this barrier, a novel framework that combines realistic robot simulation and intuitive control mechanisms within a virtual reality environment is presented. By accurately emulating the physical characteristics and behaviors of various robots, this framework offers an immersive and authentic learning experience. Through an intuitive control interface, users can interact naturally with virtual robots, facilitating the acquisition of practical robotics skills. In this study, a qualitative assessment to evaluate the effectiveness and user satisfaction with the framework is conducted. The results highlighted its usability, realism, and educational value. Specifically, the framework bridges the gap between theoretical knowledge and practical application in robotics, enabling users to gain hands-on experience and develop a deeper understanding of robot behavior and control strategies. Compared to existing approaches, the framework provides a more accessible and effective alternative for interacting with robots, particularly for individuals with limited physical access to such devices. In conclusion, the study presents a comprehensive framework that leverages virtual reality technology to enhance the learning and training process in robotics. By combining realistic simulations and intuitive controls, this framework represents a significant advancement in providing an immersive and effective learning environment. The positive user feedback obtained from the study reinforces the value and potential of the framework in facilitating the acquisition of essential robotics skills. Ultimately, this work contributes to flattening the robotics learning curve and promoting broader access to robotics education.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Reference19 articles.

1. The impact of robotics on employment and motivation of employees in the service sector, with special reference to health care;Qureshi;Saf. Health Work.,2014

2. Cobot programming for collaborative industrial tasks: An overview;Zaatari;Robot. Auton. Syst.,2019

3. Akan, B., Ameri, A., Cürüklü, B., and Asplund, L. (2011, January 9–13). Intuitive industrial robot programming through incremental multimodal language and augmented reality. Proceedings of the 2011 IEEE International Conference on Robotics and Automation, Shanghai, China.

4. (2022, June 28). ABB Robotics RobotStudio ABB Robotics, Zürich, Switzerland. Available online: https://new.abb.com/products/robotics/robotstudio.

5. (2021, March 01). Mindrend Technologies Mindrend Technologies, Willoughby, Ohio, United States. Available online: https://learnvr.org/portfolio/vr-robotics-simulator/.

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