Eric M. Hughes

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	<title>Eric M. Hughes</title>
	<link>https://erichughesm.com</link>
	<description>Eric M. Hughes</description>
	<pubDate>Thu, 26 Jan 2023 03:30:44 +0000</pubDate>
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		<title>ERIC M. HUGHES</title>
				
		<link>https://erichughesm.com/ERIC-M-HUGHES</link>

		<pubDate>Thu, 26 Jan 2023 03:30:44 +0000</pubDate>

		<dc:creator>Eric M. Hughes</dc:creator>

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		<description>
E R I C&#38;nbsp; &#38;nbsp;M.&#38;nbsp; &#38;nbsp;H U G H E S

	INFO
	RESUME
	
	
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		<title>DIFFUSIVE HABITATS</title>
				
		<link>https://erichughesm.com/DIFFUSIVE-HABITATS</link>

		<pubDate>Thu, 26 Jan 2023 03:29:06 +0000</pubDate>

		<dc:creator>Eric M. Hughes</dc:creator>

		<guid isPermaLink="true">https://erichughesm.com/DIFFUSIVE-HABITATS</guid>

		<description>E R I C&#38;nbsp; &#38;nbsp;M.&#38;nbsp; &#38;nbsp;H U G H E S&#38;nbsp; &#38;nbsp; 


	DIFFUSIVE HABITATS 
2021 - 2022
University College London
The Bartlett School of Architecture
RC3 &#124; Living Architecture Lab:
AI and Autonomous Architecture 
DISTINCTIONS:

B-Pro Architectural Design
Gold Medal 


- Highest Honor in the M.Arch AD Program&#38;nbsp;
Paris Design Award

- Emerging Interior Designer of the Year

- Winner in Interior Design/Intelligent home

- Winner in Architecture/Housing
Architecture Masterprize

- Other Architecture, Student Winner

- Residential Architecture - Multi-Unit, Student Winner
“A’ Design Award” 

- Generative, Algorithmic,&#38;nbsp; and AI-Assisted Design
International Design Awards (IDA) 


- Architecture Categories / Mix - Use Arch. Designs
Design Educates

- Responsive Design Winner
- Universal Design Winner
London International Creative Competition

- Finalists in Build (Architecture)


︎ PROJECT VIDEO:

https://vimeo.com/862124894


DESCRIPTION:
Diffusive Habitats is an autonomous adaptable architectural system that looks to reassess the linear life cycle of traditional building practice. An advanced distributed robotic material system was developed with bi-directional cyber-physical control protocols for simultaneous state
alignment. Further, through both algorithmic and deep
learning driven decision-making strategies, robotic
collaboration is achieved. The project operates through an

integrated platform engaged by the local community to both
collectively and independently decide the present and
future state of the habitat. The project explores spatial configuration and negotiation through an agent based spatial
planner algorithm which exploits reinforcement learning to
respond to and continuously adjust situated volumetric conditions in relation to multi-user requirements. Diffusive
habitats utilize constraint solving algorithms to materialize the space and deploys distributed robots and ai to construct and reconfigure the result.


TEAM:
Sergio Mutis
 Eric Hughes
Ibrahim Ghousiaa Faizunsha
Lia Papoutsi


TUTORS:&#38;nbsp;Tyson Hosmer

Octavian Gheorghiu

Philipp Siedler


SKILL TUTORS: 


Baris Erdincer

Ziming He

Panagiotis Tigas


CONSULTANTS
+ CRITICS:Robert Stuart Smith

Daniel Kohler

Patrik Schumacher

Jose Sanchez

Georg Vrachliotis

Winka Dubbeldam

Areti Markopoulou

Mario Carpo


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