Work

Mixed Reality-Based Robotics Education—Supervisor Perspective on Thesis Works

Year: 2025

Type: article

Abstract: This paper examines a series of bachelor’s and master’s thesis projects from the supervisor’s perspective, focusing on how Augmented Reality (AR) and Mixed Reality (MR) can enhance industrial robotics engineering education. While industrial robotics systems continue to evolve and the need for skilled robotics engineers grows, teaching methods have not changed. Mostly, higher education in robotics engineering still relies on funding industrial robots or otherwise on traditional 2D tools that do not effectively represent the complex spatial interactions involved in robotics. This study presents a comparative analysis of seven thesis projects integrating MR technologies to address these challenges. All projects were supervised by the lead author and showcase different approaches and learning outcomes, building on insights from previous work. This comparison outlines the benefits and challenges of using MR for robotics engineering education. Additionally, it shares key takeaways from a supervisory standpoint as an evolutionary process, offering practical insights for fellow educators/supervisors guiding MR-based robotics education projects.

Source: Applied Sciences

DOI: 10.3390/app15116134

Authors: Horst Orsolits, Antonio Valente, Maximilian Lackner

Institutions: University of Applied Sciences Technikum Wien, University of Trás-os-Montes and Alto Douro, INESC TEC

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $2,896