BIO_BOT — ecological machine hybrids, London

YET Architecture

BIO_BOT

AA EmTech MSc Dissertation — London, UK, 2021–2022

BIO_BOT — EmTech Dissertation / Urban Ecological System

Data

Year2021–2022
LocationLondon, UK
InstitutionArchitectural Association School of Architecture
ProgrammeEmergent Technologies and Design, MSc Dissertation

Credits

Project TeamAnastasiya (Kotler) Katliarskaya, Ziyue Gao, Anna Maria Oldakowski, Manya Singhal
Course DirectorDr Elif Erdine
Founding DirectorDr Michael Weinstock
Studio MasterDr Milad Showkatbakhsh
Studio TutorsFelipe Oeyen, Eleana Polychronaki, Lorenzo Santelli

About the Project

The fragmentation of the natural landscape and pollution caused by human activity accelerates the degradation of the ecosystems already hanging in precarious balance. The purpose of the project is to create a new green network that links existing green tissue and re-connects green spaces to London's Green Belt. The network operates within the threshold of interstitial spaces, revitalising underutilised spaces into public spaces and enhancing the environmental conditions of existing ones.

Composed of “bio-bot” modules, or ecological machine hybrids, it has a direct adaptability to be implemented in different spatial contexts, thresholds and environmental scenarios. The creation of four functional modules — for filtration, production, collection and protection — is the emphasis of the research. The system will define a new symbiotic and metabolic engagement through which the relationship between human participants and non-human species using living green tissue augments the existing environment.

Collection / Filtration ModuleProduction ModuleProtection ModuleRain Collection Module
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[ Material Research ]

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[ Simulations ]

Solar Analysis

Differential Growth

Robots

[ Network Development ]

Network Development

Global Network Development

CFD Analysis

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