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               <dc:title>Low-cost digital-twin VR teleoperation of a 3D-printed robotic arm for STEM education</dc:title>
               <dc:creator>Gallego Vila, Jaime</dc:creator>
               <dc:creator>Vallverdú Bayés, Sisco</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Informàtica::Robòtica</dc:subject>
               <dc:subject>Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Material didàctic</dc:subject>
               <dc:subject>STEM education</dc:subject>
               <dc:subject>Virtual reality</dc:subject>
               <dc:subject>Digital twin</dc:subject>
               <dc:subject>Robotics</dc:subject>
               <dc:subject>Teleoperation</dc:subject>
               <dc:subject>Low-cost systems</dc:subject>
               <dc:subject>3D printing</dc:subject>
               <dc:subject>Arduino</dc:subject>
               <dc:subject>Unity</dc:subject>
               <dc:subject>ESP32</dc:subject>
               <dc:description>The integration of Virtual Reality (VR) with robotic systems offers opportunities for enhancing STEM (Science, Technology, Engineering, and Mathematics) education. This paper presents the design, implementation, and evaluation of a low-cost teleoperation system for a 3D-printed robotic arm, specifically tailored for educational applications. The system uniquely combines VR for intuitive control, a real-time digital twin for system visualization and understanding, and accessible open-source hardware. Utilizing a Meta Quest 2 headset, the Unity 3D engine, an Arduino MEGA 2560-based InMoov robotic arm, and a wireless communication architecture via an ESP32 module and UDP/IP, we demonstrate that this platform can be used for educational purposes. Experimental results validate the system’s effectiveness in providing an engaging, hands-on platform for students to explore concepts in robotics, programming, kinematics, and cyber-physical systems with an average operational latency of ~700 ms. The complete robotic arm materials—excluding the assembly—can be reproduced for under €400, greatly lowering the barrier for adoption in resource-constrained classrooms. This work underscores the potential of affordable VRrobotic digital twin systems to democratize access to advanced technological learning experiences in STEM.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (author's final draft)</dc:description>
               <dc:date>2025</dc:date>
               <dc:type>Conference report</dc:type>
               <dc:relation>https://ieeexplore.ieee.org/document/11172534</dc:relation>
               <dc:rights>Open Access</dc:rights>
               <dc:publisher>Institute of Electrical and Electronics Engineers (IEEE)</dc:publisher>
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