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 acadia18_72
id acadia18_72
authors Nagy, Danil; Stoddart, Jim; Villaggi, Lorenzo; Burger, Shane; Benjamin, David
year 2018
title Digital Dérive. Reconstructing urban environments based on human experience
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 72-81
summary This paper describes a novel method for reconstructing urban environments based on individual occupant experience. The method relies on a low-cost off-the-shelf 360-degree camera to capture video and audio data from a natural walk through the city. It then uses a custom workflow based on an open-source Structure from Motion (SfM) library to reconstruct a dense point cloud from images extracted from the 360-degree video. The point cloud and audio data are then represented within a virtual reality (VR) model, creating a multisensory environment that immerses the viewer into the subjective experience of the occupant.

This work questions the role of precision and fidelity in our experience and representation of a “real” physical environment. On the one hand, the resulting VR environment is less complete and has lower fidelity than digital environments created through traditional modeling and rendering workflows. On the other hand, because each point in the point cloud is literally sampled from the actual environment, the resulting model also captures more of the noise and imprecision that characterizes our world. The result is an uncanny immersive experience that is less precise than traditional digital environments, yet represents many more of the unique physical characteristics that define our urban experiences.

keywords full paper, urban design & analysis, representation + perception, interactive simulations, virtual reality
series ACADIA
type paper
last changed 2019/01/07 11:21

_id acadia17_436
id acadia17_436
authors Nagy, Danil; Villaggi, Lorenzo; Zhao, Dale; Benjamin, David
year 2017
title Beyond Heuristics: A Novel Design Space Model for Generative Space Planning in Architecture
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 436- 445
summary This paper proposes a novel design space model that can be used in applications of generative space planning in architecture. The model is based on a novel data structure that allows fast subdivision and merge operations on planar regions in a floor plan. It is controlled by a relatively small set of input parameters and evaluated for performance using a set of congestion metrics, which allows it to be optimized by a metaheuristic such as a genetic algorithm (GA). The paper also presents a set of guidelines and methods for analyzing and visualizing the quality of the model through low-resolution sampling of the design space. The model and analysis methods are demonstrated through an application in the design of an exhibit hall layout. The paper concludes by speculating on the potential of such models to disrupt the architectural profession by allowing designers to break free of common "heuristics" or rules of thumb and explore a wider range of design options than would be possible using traditional methods.
keywords design methods; information processing; simulation & optimization; generative system; data visualization
series ACADIA
last changed 2017/10/17 09:13

_id acadia16_184
id acadia16_184
authors Vasey; Lauren; Long Nguyen; Tovi Grossman; Heather Kerrick; Danil Nagy; Evan Atherton; David Thomasson; Nick Cote; David Benjamin; George Fitzmaurice; Achim Menges
year 2016
title Collaborative Construction: Human and Robotic Collaboration Enabling the Fabrication and Assembly of a Filament-Wound Structure
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 184-195
summary In this paper, we describe an interdisciplinary project and live-exhibit that investigated whether untrained humans and robots could work together collaboratively towards the common goal of building a large-scale structure composed out of robotically fabricated modules using a filament winding process. We describe the fabrication system and exhibition setup, including a custom end effector and tension control mechanism, as well as a collaborative fabrication process in which instructions delivered via wearable devices enable the trade-off of production and assembly tasks between human and robot. We describe the necessary robotic developments that facilitated a live fabrication process, including a generic robot inverse kinematic solver engine for non-spherical wrist robots, and wireless network communication connecting hardware and software. In addition, we discuss computational strategies for the fiber syntax generation and robotic motion planning which mitigated constraints such as reachability, axis limitations, and collisions, and ensured predictable and therefore safe motion in a live exhibition setting. We discuss the larger implications of this project as a case study for handling deviations due to non-standardized materials or human error, as well as a means to reconsider the fundamental separation of human and robotic tasks in a production workflow. Most significantly, the project exemplifies a hybrid domain of human and robot collaboration in which coordination and communication between robots, people, and devices can enhance the integration of robotic processes and computational control into the characteristic processes of construction.
keywords machin vision, cyber-physical systems, internet of things, robotic fabrication, human robot collaboration, sensate systems
series ACADIA
type paper
last changed 2016/11/17 09:20

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