Computational Design -  Space Architecture l Valentina Sumini
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Computational Design - Space Architecture l Valentina Sumini

Computational Design, Robotics and Extended Reality in Space Architecture

Von Emerging Fields in Architecture, TU Wien

Datum und Uhrzeit

Mo. 4. Nov. 2024 11:00 - 13:00 CET

Veranstaltungsort

HS 14A Günther Feuerstein

Karlsplatz 13 1040 Wien Austria

Zu diesem Event

  • Eventdauer: 2 Stunden

Vortrag von Valentina Sumini (Visiting Professor at Politecnico di Milano, Research Affiliate at the Space Exploration Initiative at the MIT Media Lab)

Extreme Architecture

Im Rahmen vom Modul Emerging Fields in Architecture (++), HB2, TU Wien


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Das Modul Emerging Fields in Architecture vermittelt aktuelles Wissen aus neuen Forschungsfeldern in architektur- und ingenieurswissenschaftlichen Disziplinen, mit dem Ziel aktuelle und zukünftige Entwurfsherausforderungen im breiteren gesellschaftlichen Kontext fachübergreifend und grundlegend zu bearbeiten. Die Vorlesungen vermitteln Kenntnisse über unterschiedliche und fachübergreifende Zugänge zur Entwurfsfindung, aktuelle Entwicklungen und Resultate der Material- und Bauweisenforschung, über das Planen und Bauen unter/in extremen Bedingungen sowie über Strukturen die sich aufgrund von wechselnden Parametern verändern bzw. entwickeln.

In diesem Zusammenhang werden Strategien zur Entwurfsfindung (von der ersten Idee bis zur Umsetzung) im interdisziplinären Diskurs hinterfragt, und der Frage nachgegangen wie sich der Weg von der Idee zur Realisierung gestalten kann und inwieweit es möglich ist systematisch kreativ zu sein.

Mehr Info.

Valentina Sumini is Visiting Professor at Politecnico di Milano and Space Architect and Engineer Research Affiliate at MIT Media Lab within Space Exploration Initiative and Responsive Environments. She generates innovative design, architectures and engineered solutions through an holistic approach in order to sustain human life in extreme environments on Earth and enable human space exploration in Low Earth Orbit, on the Moon and Mars.

Her Space Architecture research focuses on developing new computational design methods for multi-performance habitats, soft-robotic prosthetics to enhance mobility and dexterity in microgravity, and advanced construction techniques using in-situ resources.

Her passion in advancing human performance during deep space exploration mission dates back to 2009 when she designed for the first time an hotel on the lunar surface, named Moorea, for democratizing the access to space to tourists. Over the years she developed more in depths studies that she applied to different scenarios and award winning competitions projects, mainly organized by international space agencies: a MARINA Space Hotel orbiting in Low Earth Orbit around Earth (NASA RASC-AL Competition 2017), a city on Mars, named Redwood Forest and its generative design model Mars Habitat W.A.T.E.R. (Mars City Design Competition 2017 ), a Marsboreal Greenhouse project on Mars ( NASA Big Idea Challenge 2019), an auger H.Y.D.R.A. system to extract ice/water from the subsurface of Mars (NASA RASC-AL Competition 2018), a Moon Village in collaboration with the architectural firm Skidmore, Owings and Merril and the European Space Agency, and a soft robotic exoskeleton for enhancing astronaut movements and performance in microgravity conditions (tested on a Zero-G parabolic flight with the MIT Media Lab - Space Exploration Initiative).

Valentina is a member of both the Technical Committee on Space Engineering and Construction (SEC) of the Aerospace Division (ASD) for the American Society of Civil Engineers (ASCE) and the Space Architecture Technical Committee of the American Institute of Aeronautics and Astronautics, where she serves as Chair of the Education section, aiming to democratize education in the field of Space Architecture globally for different generations of students.

Currently, she is involved in innovation, robotics, and sustainability for COESIA Engineering Center, where she analyzes new activities with high technological impact aimed at reducing the environmental footprint of industrial processes.

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