@article{2518c51a8f4f4c95bac37a6df74b9b81,
title = "Enhanced Learning of Load Path in a 3D Structural System using Virtual Reality",
author = "Torres, {Juan Andres} and Sychterz, {Ann C.} and Jacob Henschen",
note = "Funding Information: I obtained by PhD in 2018 from the Swiss Federal Institute of Technology Lausanne (EPFL) addressing the novel use of control algorithms, statistical diagnostic tools, and real-time feedback on a full-scale tensegrity structure to enable smooth deployability, damage detection, adaptation, and learning (https://youtu.be/FeXxjerleZE). During my masters of applied science obtained in 2014 at the University of Waterloo (UW), I built full-scale aluminum pedestrian bridges for vibration characterization and control. I completed my bachelor of applied science in civil engineering at the University of Waterloo in 2012. Before coming to the University of Illinois, I completed a postdoctoral position at the University of Michigan through the successful Swiss National Science Foundation Early.Postdoc Mobility grant that I authored on the actuator optimization of adaptive origami structures. My research work is focused on designing, building, testing, and simulating of structures that are adaptive, lightweight, large-scale, resilient, and sustainable.; 129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; Conference date: 26-06-2022 Through 29-06-2022",
year = "2022",
month = aug,
day = "23",
language = "English (US)",
journal = "ASEE Annual Conference and Exposition, Conference Proceedings",
issn = "2153-5965",
}