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ENNCO RENDER
Monroe, WA, USA
Client:
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Project Team:
Ennco
August 2022
Wojciech Karnowka (lead, dev) Jacek Karnowka (dev)
The project encompassed the development of a Rhino plug-in commissioned by Ennco, a company specialising in spectacle display panels. The primary goal was to devise a user-friendly tool, allowing Ennco’s staff, irrespective of their familiarity with Rhino or rendering technique, to assign materials and generate renders in various configurations. Additionally, the plug-in required functionality, to open files including multiple models, and their separation into separate files.
We conceived a comprehensive solution that featured a material library, an intuitive interface, and a repository of prior solutions. This database organised material lists based on past applications, considerably enhancing operational efficiency. The project’s impact on Ennco’s material preparation process was transformative, markedly expediting their workflow. Following implementation, the plug-in has facilitated the rendering of many images— potentially numbering in the thousands.
Thesis
London, UK
Institution: Author: Advisor:
The Bartlett School of Architecture, UCL June 2023
Wojciech Karnowka dr Abel Maciel
My MArch Thesis has been accepted for publication at the Design Computation Input/Output Conference (DCIO 2023) and is currently pending reviewer feedback.
The paper examines the interplay between mental models, design models, and natural design algorithms as a means to investigate the relationship between design practitioners’ cognitive processes and artificial design algorithms.
Since the 1960s, various digital space planning algorithms have been explored, differing in their scope, objectives, and efficiency. However, none of these solutions have come close to matching human-led designs. The thesis hypothesises that the lack of consideration for some of the fundamental components present in natural design algorithms might be the missing link in artificial space planning research.
Automated Architectural Space Planning Systems:
Cognitive Challenges and Opportunities
BARC0011 MArch Advanced Architectural Thesis
Wojciech Karnowka
UNIVERSITY COLLEGE LONDON
