Veronika Laszlo: /* MSc 2 IAP 2023: Rhizome 2.0 */

2024-01-18T06:50:25Z

MSc 2 IAP 2023: Rhizome 2.0

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2024-01-16T11:37:27Z

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=='''MSc 2 IAP 2023: Rhizome 2.0'''==

[[File:cs_ws4.png | 850px]]
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[[2023W4|'''Description''']]
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[[2023W4:Download|'''Download''']]
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[[2023W4:Online|'''Online''']]
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[[2023W4:References|'''References''']]
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[[2023W4:Groups|'''Groups''']]
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=='''PROJECTS'''==

CS (http://cs.roboticbuilding.eu/index.php/Shared:2019Final and http://cs.roboticbuilding.eu/index.php/2019MSc3)
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HB/ RB graduation projects (https://repository.tudelft.nl/islandora/object/uuid%3A25f7cc18-7400-4c65-a205-15530982d504, http://cs.roboticbuilding.eu/index.php/project02:P5), https://drive.google.com/drive/folders/18dBlk9IpK4tr-U6HJwMl2wcB52fAlb8J, and
https://repository.tudelft.nl/islandora/object/uuid%3A0461dd93-d335-4e43-b194-a035805176d6
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Bigelow (https://en.wikipedia.org/wiki/Bigelow_Expandable_Activity_Module)
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=='''READINGS'''==

Bier, H., Khademi, S., van Engelenburg, C. et al. Computer Vision and Human–Robot Collaboration Supported Design-to-Robotic-Assembly. Constr Robot (2022). https://doi.org/10.1007/s41693-022-00084-1
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Bier, H., Cervone, A., and Makaya, A. Advancements in Designing, Producing, and Operating Off-Earth Infrastructure, Spool CpA #4, 2021. https://doi.org/10.7480/spool.2021.2.6056
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Pillan, M., Bier, H., Green, K. et al. Actuated and Performative Architecture: Emerging Forms of Human-Machine Interaction, Spool CpA #3, 2020. https://doi.org/10.7480/spool.2020.3.5487
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Lee, S. and Bier, H., Aparatisation of/in Architecture, Spool CpA #2, 2019. https://doi.org/10.7480/spool.2019.1.3894
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Bier, H. Robotic Building, Adaptive Environments Springer Book Series, Springer 2018 (https://www.springer.com/gp/book/9783319708652)
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Hoekman, W. [http://cs.roboticbuilding.eu/images/7/7d/Regolith_as_future_habitat_construction_material_-_Willem_Hoekman.pdf Regolith as future habitat construction material] and bio chitinous manufacturing: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238606
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Literature on CV algorithms that employ structural reasoning by mapping a raster image - either noisy (first fig.) or floor plan drawing (second fig.) - into corresponding geometrical representation. This is equivalent to the problem addressed in the course, i.e., learning to map between an image of the Voronoi-like structure (in which the lines are not explicitly defined) to its geometrical counterpart (in which lines are surfaces are explicitly defined). This geometrical representation can subsequently be leveraged for the task at hand:
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https://openaccess.thecvf.com/content_iccv_2017/html/Liu_Raster-To-Vector_Revisiting_Floorplan_ICCV_2017_paper.html
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https://openaccess.thecvf.com/content/CVPR2022/html/Chen_HEAT_Holistic_Edge_Attention_Transformer_for_Structured_Reconstruction_CVPR_2022_paper.html
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https://openaccess.thecvf.com/content/ICCV2021/html/Stekovic_MonteFloor_Extending_MCTS_for_Reconstructing_Accurate_Large-Scale_Floor_Plans_ICCV_2021_paper.html
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=='''PRESENTATIONS'''==

'''Voronoi-based D2RP'''
<youtube width="850" height="480">C3_lcgtnYRc</youtube>
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=='''TEMPLATES'''==

Report:
<br>https://docs.google.com/document/d/1fNNps7UfgIfoOH8G0ar-5Bzz26-up8Y4/edit
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Premiere project (9GB):
<br>https://drive.google.com/file/d/1fW5gJpLXPioM9SZoCJAiNOr817AWGZCu/view
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=='''EXAMPLES'''==

Conceptual and material systems:
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https://docs.google.com/document/d/1HuC4LMdFcbEiV-xcFDMZns1TAx9q0Gx2T3S5jMg7Wjs/edit?usp=sharing
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Scalable porosity and componential logic:
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[[File:Capture(204).png | 850px]]
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[[File:Capture(215).png | 850px]]
[[File:Cl4.jpg | 850px]]
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[[File:Screenshot 2021-02-24 at 16.06.35.png | 850px]]