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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2024_106
authors Aºut, Serdar
year 2024
title Developing a Hybrid Learning Environment for Architectural Robotics
source Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 695–704
doi https://doi.org/10.52842/conf.ecaade.2024.2.695
summary The physical infrastructures needed for hands-on learning can be enhanced for efficiency and flexibility, meeting the rising student interest and adapting to the evolving educational landscapes. This article presents the ongoing development of a Hybrid Learning Environment (HLE) that adopts a blended approach to teaching robotics in design disciplines like architecture, building technology, and industrial design. Common platforms cannot replicate the experience of a physical learning space with tangible tools and materials, which are essential for hands-on learning in design education. This project tackles these concerns through an HLE that integrates VR and Robotics. The HLE includes a digital twin of the physical workspace created using a game engine. Different methods were explored to establish communication between physical and virtual environments. The empirical analysis of a preliminary version of the HLE demonstrates that it can enhance learning by making it more intuitive and engaging, making it easier to understand the complex operations of the robotic arm. The study also highlights further research directions, including addressing network security and latency issues, integrating multisensory approaches, and tackling the challenges in collaborative learning activities.
keywords Architectural Robotics, Human-Robot Interaction, Virtual Reality, Hybrid Learning Environments, Architecture Education
series eCAADe
email
full text file.pdf (527,484 bytes)
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