Augmented Reality-Based Interactive Lab Simulator for Robotics and Mechatronics Education in Technical Institutions

Project Abstract

This study presents the design, development, and evaluation of an augmented reality (AR)–based interactive lab simulator tailored for robotics and mechatronics education in technical institutions. The primary aim is to enhance practical understanding, reduce the dependency on costly hardware setups, and provide scalable, repeatable learning experiences that align with contemporary engineering curricula. The AR lab integrates fiducial and markerless tracking, real-time 3D visualization, and multimodal interaction to recreate essential laboratory experiments, including servo motor control, PID tuning, robot arm kinematics, sensor fusion, motor drivers, and embedded systems interfacing. A modular architecture was implemented to support extensibility across multiple courses, enabling educators to configure experiments, assessment rubrics, and progress tracking without extensive programming. The system leverages mobile and wearable devices to deliver immersive, hands-on simulations that preserve the tactile feedback and procedural rigor of traditional labs while mitigating safety concerns and equipment wear. The methodological framework encompassed iterative design-based research, combining formal requirement analysis, prototype development, pilot testing with students and instructors, and comprehensive evaluation. Data were collected through mixed methods, including objective performance metrics (task completion time, accuracy, error rates), subjective user experience (perceived usefulness, ease of use, engagement), and classroom impact indicators (concept retention, transfer to physical labs, and attendance). The evaluation employed a quasi-experimental design with control and experimental groups across multiple cohorts, complemented by expert reviews and usability testing with domain educators. The results indicate significant improvements in conceptual comprehension and procedural fluency when learners engage with AR-enabled simulations prior to or in lieu of conventional experiments. Notably, learners demonstrated faster PID parameter tuning, improved error detection in sensor fusion tasks, and higher confidence in debugging embedded systems due to iterative, within-scenario feedback and guided hints. A core contribution of the work is a repository of reusable AR lab modules that map directly to international mechatronics and robotics curricula, along with an adaptive assessment engine that provides formative feedback and analytics at granular levels (task steps, sub-skills, and cognitive loads). The research also addresses accessibility and inclusivity by offering adjustable visualization scales, language support, and offline operation modes to accommodate institutions with limited bandwidth. Challenges encountered included latency management on mid-range devices, accurate calibration between virtual overlays and physical hardware, and ensuring pedagogical alignment across diverse instructors. These were mitigated through optimization techniques, calibration routines, and a collaborative faculty-led validation process. The study concludes that AR-based interactive lab simulations are a viable augmentative tool for technical education, capable of complementing traditional labs, expanding access to practical robotics and mechatronics training, and facilitating scalable, standardized assessment, while maintaining fidelity to safety and learning objectives. Future work proposes integration with cloud-based analytics, adaptive learning pathways, and expanded modules for advanced topics such as autonomous systems and real-time control in distributed hardware environments.

Project Overview

What This Project Is About

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This project explores an interactive lab tool that uses augmented reality (AR) to help students learn robotics and mechatronics concepts. It blends physical lab activities with digital overlays to guide experiments, provide real-time feedback, and visualize invisible data like currents, voltages, and motion paths.

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The Problem It Addresses

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Many technical labs rely on expensive equipment and complex setups, which can limit hands-on practice and slow learning. Students often struggle to understand how theories map to real hardware. AR can simplify setups, reduce equipment needs, and make learning more engaging.

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Objectives of the Project

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1. Demonstrate how AR overlays can assist in setting up and running robotics experiments.
2. Show how real-time visualizations improve understanding of sensors and actuators.
3. Develop a reusable AR lab framework for mechatronics topics.
4. Evaluate learning outcomes and student engagement compared to traditional labs.

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What You Will Do Step by Step

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1. Review existing AR and lab software and select suitable tools.
2. Design AR overlays that guide assembly, connection, and safety checks.
3. Build a prototype lab scenario (e.g., simple robotic arm with sensors).
4. Implement data capture and visualization of measurements.
5. Test with peers and collect feedback on usability and understanding.
6. Analyze data on learning gains and time-on-task.
7. Refine the system based on feedback and run a final evaluation.
8. Document design, usage instructions, and evaluation results.

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Expected Outcome

A functional AR-based lab simulator that guides users through robotics and mechatronics experiments, with clear visual feedback and measured improvements in comprehension and engagement. The project should provide a blueprint for deploying AR labs in technical education with low-cost hardware.