Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2016_079
id	ecaade2016_079
authors	Cheng, Chi-Li and Hou, June-Hao
year	2016
title	Biomimetic Robotic Construction Process - An approach for adapting mass irregular-shaped natural materials
doi	https://doi.org/10.52842/conf.ecaade.2016.1.133
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 133-142
summary	Beaver dams are formed by two main processes. One is that beavers select proper woods for constructing. The other one is that streams aggregate those woods to be assembled. Using this approach to construction structure is suitable for natural environment. In this paper, we attempt to develop a construction process which is suitable for all-terrain construction robot in the future. This construction process is inspired by beavers' construction behavior in nature. Beavers select proper sticks to make the structure stable. We predict that particular properties of sticks contribute gravity-driven assembly of wood structure. Thus, we implement the system with machine learning to find proper properties of sticks to improve selection mechanism of construction process. During this construction process, 3D scanner on robotic arm scans and recognizes sticks on terrain, and then robot will select proper sticks and place them. After placement, the system will scan and record the results for learning mechanism.
wos	WOS:000402063700015
keywords	Biomimetic Design; Machine Learning; Natural Material; Point Cloud Analysis; Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2016_241
id	ecaade2016_241
authors	Janssen, Patrick, Stouffs, Rudi, Mohanty, Akshata, Tan, Elvira and Li, Ruize
year	2016
title	Parametric Modelling with GIS
doi	https://doi.org/10.52842/conf.ecaade.2016.2.059
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 59-68
summary	Existing urban planning and design systems and workflows do not effectively support a fast iterative design process capable of generating and evaluating large-scale urban models. One of the key issues is the lack of flexibility in workflows to support iterative design generation and performance analyses, and easily integrate into design and planning processes. We present and demonstrate a parametric modelling system, Möbius, that can easily be linked to Geographic Information Systems for creating modular workflows, provides a novel approach for visual programming that integrates associative and imperative programming styles, uses a rich topological data structure that allows custom data attributes to be added to geometric entities at any topological level, and is fully web-based. The demonstration consists of five main stages that alternate between QGIS and Möbius, generating and analysing an urban model reflecting on site conditions and using a library of parametric urban typologies, and uses as a case study an urban design studio project in which the students sketched a set of rules that defined site coverage and building heights based on the proximity to various elements in the design.
wos	WOS:000402064400005
keywords	generative design; urban planning; Geographic Information Systems; parametric modelling
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2016_157
id	caadria2016_157
authors	Patrick Janssen, Ruize Li and Akshata Mohanty
year	2016
title	Mobius: A Parametric Modeller for the Web
doi	https://doi.org/10.52842/conf.caadria.2016.157
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 157-166
summary	For complex parametric modelling tasks, systems that use textual programming languages (TPLs) currently have clear ad- vantages over visual programming languages (VPLs) systems. Their support for a rich variety of programming mechanisms means that the complexity of the program can remain commensurate with the com- plexity of the modelling task. A prototype parametric modelling sys- tem called Mo?bius is presented that aims to overcome the limitations of existing VPL systems. The proposed system integrates associative and imperative programming styles and supports iterative looping and higher order functions. In order to demonstrate the versatility of the Mo?bius, a modelling task is presented that requires the model to be modified.
keywords	Parametric procedural modelling; generative design; visu- al programming; human-computer interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

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