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	ecaadesigradi2019_102
id	ecaadesigradi2019_102
authors	Passsaro, Andres Martin, Henriques, Gonçalo Castro, Sans?o, Adriana and Tebaldi, Isadora
year	2019
title	Tornado Pavilion - Simplexity, almost nothing, but human expanded abilities
doi	https://doi.org/10.52842/conf.ecaade.2019.1.305
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 305-314
summary	In the context of the fourth industrial revolution, not all regions have the same access to technology for project development. These technological limitations do not necessarily result in worst projects and, on the contrary, can stimulate creativity and human intervention to overcome these shortcomings. We report here the design of a small pavilion with scarce budget and an ambitious goal to qualify a space through tactical urbanism. We develop the project in a multidisciplinary partnership between academy and industry, designing, manufacturing and assembling Tornado Pavilion, a complex structure using combined HIGH-LOW technologies, combining visual programming with analog manufacture and assembly. The design strategy uses SIMPLEXITY with ruled surfaces strategy to achieve a complex geometry. Due to the lack of automated mechanical cutting or assembly, we used human expanded abilities for the construction; instead of a swarm of robots, we had a motivated and synchronized swarm of students. The pavilion became a reference for local population that adopted it. This process thus shows that less or almost nothing (Sola-Morales 1995), need not to be boring (Venturi 1966) but less can be much more (Kolarevic 2017).
keywords	Simplexity; CAD-CAM; Ruled Surfaces; expanded abilities; pavilion
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia19_258
id	acadia19_258
authors	Bar-Sinai, Karen Lee; Shaked, Tom; Sprecher, Aaron
year	2019
title	Informing Grounds
doi	https://doi.org/10.52842/conf.acadia.2019.258
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 258-265
summary	Advancements in robotic fabrication are enabling on-site construction in increasingly larger scales. In this paper, we argue that as autonomous tools encounter the territorial scale, they open new ways to embed information into it. To define the new practice, this paper introduces a protocol combining a theoretical framework and an iterative process titled Informing Grounds. This protocol mediates and supports the exchange of knowledge between a digital and a physical environment and is applicable to a variety of materials with uncertain characteristics in a robotic manufacturing scenario. The process is applied on soil and demonstrated through a recent design-to-fabrication workshop that focused on simulating digital groundscaping of distant lunar grounds employing robotic sand-forming. The first stage is ‘sampling’—observing the physical domain both as an initial step as well as a step between the forming cycles to update the virtual model. The second stage is ‘streaming’—the generation of information derived from the digital model and its projection onto the physical realm. The third stage is ‘transforming’—the shaping of the sand medium through a physical gesture. The workshop outcomes serve as the basis for discussion regarding the challenges posed by applying autonomous robotic tools on materials with uncertain behavior at a large-scale.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	acadia19_360
id	acadia19_360
authors	Dackiw, Jean-Nicolas Alois; Foltman, Andrzej; Garivani, Soroush; Kaseman, Keith; Sollazzo, Aldo
year	2019
title	Cyber-physical UAV Navigation and Operation
doi	https://doi.org/10.52842/conf.acadia.2019.360
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 360-367
summary	The purpose of this paper is to present a work in progress pertaining to drone pose estimation and flight calibration. This paper intends to underline the increasing importance of determining alternative path planning instruments through accurate localization for Unmanned Aerial Vehicles (UAVs) with the purpose of achieving complex flight operations for the emerging applications of autonomous robotics in surveying, design, fabrication, and on-site operations. This research is based on the implementation of novel technologies such as Augmented Reality (AR), Robot Operating System (ROS), and computational approaches to define a drone calibration methodology, leveraging existing methods for drone path planning. Drones are equipped with measurement systems to provide geo-location and time information such as onboard Global Positioning System (GPS) sensors, and Inertial Measurement Units (IMU). As stated in previous research, to increase navigation capabilities, measurements and data processing algorithms have a critical role (Daponte et al. 2015). The outcome of this work in progress showcases valuable results in calculating and assessing accurate positioning for UAVs, and developing data exchanges in transmission, reception, and tracking.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	caadria2019_453
id	caadria2019_453
authors	Dai, Rushi, Kerber, Ethan and Brell-Cokcan, Sigrid
year	2019
title	Robot Assisted Assembly of Steel Structures - Optimization and Automation of Plasma Cutting and Assembly
doi	https://doi.org/10.52842/conf.caadria.2019.1.163
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 163-172
summary	The digitization of the construction industry integrates innovations in design and fabrication to achieve increased efficiency and performance. This paper details the development of a process for optimizing and automating the design and production of branching steel structures including the use of robotic construction, evolutionary optimization of path planning and the creation of an automatic height control robotic end effector.
keywords	digitalization; optimization; automation; steel structures; plasma cutting
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_376
id	ecaadesigradi2019_376
authors	Das, Avishek, Worre Foged, Isak, Jensen, Mads Brath and Hansson, Michael Natapon
year	2019
title	Collaborative Robotic Masonry and Early Stage Fatigue Prediction
doi	https://doi.org/10.52842/conf.ecaade.2019.3.171
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 171-178
summary	The nature of craft has often been dictated by the type and nature of the tool. The authors intend to establish a new relationship between a mechanically articulated tool and a human through the development a symbiotic relationship between them. This study attempts to develop and deploy a framework for collaborative robotic masonry involving one mason and one industrial robotic arm. This study aims to study the harmful posture and muscular stress developed during the construction work and involve a robotic arm to aid the mason to reduce the cumulative damage to one's body. Through utilization of RGBD sensors and surface electromyography procedure the study develops a framework that distributes the task between the mason and robot. The kinematics and electromyography detects the fatigue and harmful postures and activates the robot to collaborate with the mason in the process.
keywords	interactive robotic fabrication; human robot collaboration; fatigue and pose estimation; masonry
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_056
id	cf2019_056
authors	Erdine, Elif ; Asli Aydin, Cemal Koray Bingol, Gamze Gunduz, Alvaro Lopez Rodriguez and Milad Showkatbakhsh
year	2019
title	Robot-Aided Fabrication of Materially Efficient Complex Concrete Assemblies
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 454-472
summary	This paper presents a novel approach for the materially efficient production of doubly-curved Expanded Polystyrene (EPS) form-work for insitu concrete construction and a novel application of a patented Glass Reinforced Concrete (GRC) technology. Research objectives focus on the development of complex form-work generation and concrete application via advanced computational and robotic methods. While it is viable to produce form-work with complex geometries with advanced digital and robotic fabrication tools, a key consideration area is the reduction of form-work waste material. The research agenda explores methods of associating architectural, spatial, and structural criteria with a material-informed holistic approach. The digital and physical investigations are founded on Robotic Hot-Wire Cutting (RHWC). The geometrical and physical principles of RHWC are transformed into design inputs, whereby digital and physical tests inform each other simultaneously. Correlations are set between form-work waste optimization with the geometrical freedom and constraints of hot-wire cutting via computational methods.
keywords	Robotic fabrication, Robotic hot-wire cutting (RHWC), Glassreinforced concrete (GRC), Waste optimization, EPS form-work
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2019_478
id	caadria2019_478
authors	Fingrut, Adam, Crolla, Kristof and Lau, Darwin
year	2019
title	Automation Complexity - Brick By Brick
doi	https://doi.org/10.52842/conf.caadria.2019.1.093
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 93-102
summary	This paper discusses the assembly of brick structures with a Cable Driven Parallel Robot (CDPR). Explored is the impact of using computational design tools and the deployment of robotic equipment for the creation of an expanded architectural design space, based on the limits of material and equipment in place of a skilled labor force.
keywords	Cable-Robot; Construction Automation; Digital Fabrication; Construction Complexity; Non-Standard Architecture
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia19_40
id	acadia19_40
authors	Garcia del Castillo y López, Jose Luis
year	2019
title	Robot Ex Machina
doi	https://doi.org/10.52842/conf.acadia.2019.040
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 40-49
summary	Industrial robotic arms are increasingly present in digital fabrication workflows due to their robustness, degrees of freedom, and potentially large scale. However, the range of possibilities they provide is limited by their typical software control paradigms, specifically offline programming. This model requires all the robotic instructions to be pre-defined before execution, a possibility only affordable in highly predictable environments. But in the context of architecture, design and art, it can hardly accommodate more complex forms of control, such as responding to material feedback, adapting to changing conditions on a construction site, or on-the-fly decision-making. We present Robot Ex Machina, an open-source computational framework of software tools for real-time robot programming and control. The contribution of this framework is a paradigm shift in robot programming models, systematically providing a platform to enable real-time interaction and control of mechanical actuators. Furthermore, it fosters programming styles that are reactive to, rather than prescriptive about, the state of the robot. We argue that this model is, compared to traditional offline programming, beneficial for creative individuals, as its concurrent nature and immediate feedback provide a deeper and richer set of possibilities, facilitates experimentation, flow of thought, and creative inquiry. In this paper, we introduce the framework, and discuss the unifying model around which all its tools are designed. Three case studies are presented, showcasing how the framework provides richer interaction models and novel outcomes in digital making. We conclude by discussing current limitations of the model and future work.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_502
id	ecaadesigradi2019_502
authors	Gozen, Efe
year	2019
title	A Framework for a Five-Axis Stylus for Design Fabrication
doi	https://doi.org/10.52842/conf.ecaade.2019.1.215
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 215-220
summary	This paper proposes a new workflow between design and fabrication phases through the introduction of a novel framework centered around a stylus that is tracked in real-time for five-axis by a single RGB-D camera. Often misconceived as a linear process, urgent reinterpretation of design and fabrication tools is discussed briefly. Similar to how industrial robots have become an enabler for fabrication process in the field of architecture and construction, the necessity for providing a similar tool that would reform the "design" process is underlined. A generic stylus is proposed with interchangeable operations which allows for intuitive, non-obstructive grasp of the user serves as the physical avatar that transform into a virtual representation of a fabrication tool mounted on a six-axis industrial robot arm. User interaction with the apparatus is simulated for the user, and the user is notified of any errors as the interaction is translated for motion planning of a KUKA KR20-3 industrial robot.
keywords	Human-Computer Interaction; CAD / CAM; Robotic Motion Control
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_237
id	ecaadesigradi2019_237
authors	Granero, Adriana
year	2019
title	Starting hypothesis - A proposed biological-artificial mutualism
doi	https://doi.org/10.52842/conf.ecaade.2019.2.569
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 569-574
summary	We imagine the buildings of a not too distant future (constructions that we will inhabit) as the combination of digital design, additive manufacturing, advanced robotics, sensors, transmitters, information in the cloud, information of networks, information of other robot networks, etc. all interconnected and with autonomous response. We imagine the skin as a biomimetic envelope of autonomous response to environmental changes. We perceive that skin, or the envelope of the architectural construction made with personalized products, a physical object created by printing layer by layer of a three-dimensional model or 3D digital drawing, an additive manufacturing or 3D printing. We do not rule out that this physical object can be printed in 4D in a process in which the skin itself or envelope built by a process linked to advanced robotics and AI can generate products that modify themselves to respond to changes climatic.
keywords	Mutualism; Biologital-Artificial; Biological-Digital; Mechatronic Architecture
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	acadia23_v2_340
id	acadia23_v2_340
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	Augmented Reality Assisted Robotic: Tube Bending
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary	The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	acadia19_510
id	acadia19_510
authors	Leder, Samuel; Weber, Ramon; Wood, Dylan; Bucklin, Oliver; Menges, Achim
year	2019
title	Distributed Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2019.510
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 510-519
summary	Advances in computational design and robotic building methods have the potential to enable architects to author more sustainable, efficient, and geometrically varied systems that shape our built environment. To fully harness this potential, the inherent relationship of design and building processes requires a fundamental shift in the way we design and how we build. High degree of customization in architectural projects and constantly changing conditions of construction environments pose significant challenges for the implementation of automated construction machines. Beyond traditional, human-inspired, industrial robotic building methods, we present a distributed robotic system where the robotic builders are designed in direct relationship with the material and architecture they assemble. Modular, collaborative, single axis robots are designed to utilize standardized timber struts as a basic building material, and as a part of their locomotion system, to create large-scale timber structures with high degrees of differentiation. The decentralized, multi-robot system uses a larger number of simple machines that collaborate in teams to work in parallel on varying tasks such as material transport, placement, and fixing. The research explores related architectural and robotic typologies to create timber structures with novel aesthetics and performances.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_541
id	ecaadesigradi2019_541
authors	Mesa, Olga, Mhatre, Saurabh, Singh, Malika and Aukes, Dan
year	2019
title	CREASE - Synchronized Gait Through Folded Geometry.
doi	https://doi.org/10.52842/conf.ecaade.2019.3.197
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 197-206
summary	Robotics have expanded exponentially in the last decade. Within the vast examples of ambulatory robots, traditional legged robots necessitate engineering expertise and the use of specialized fabrication technologies. Micro electromechanical (MEM) robots are useful for a wide range of applications yet in most cases, difficult to fabricate and excessively intricate. Advances in pop-up laminate construction have generated a model shift in the development of robot morphologies due to their ease of fabrication and scalability from the millimeter to centimeter scale. This research continues to investigate the link between kinematics and pop-up origami structures in robotics. The objective was to design a robot that exhibited efficient and controlled locomotion minimizing number of motors. "Crease", an origami robot that emerges from a two-dimensional sheet into its three-dimensional configuration was developed. By amplifying a simple rotational motion through the geometry of folds in the robot, a complex gait was achieved with minimal motorized actuation. Variations in gait, control, and steering were studied through physical and computational models. Untethered Creases that sense their environment and steer accordingly were developed. This research contributes not only to the field of robotics but also to design where efficiency, adjustability and ease of fabrication are critical.
keywords	Digital Fabrication and Robotics, Smart Geometry, Origami Robotics, Laminate Construction.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_549
id	ecaadesigradi2019_549
authors	Reinhardt, Dagmar, Haeusler, M. Hank, Loke, Lian, de Oliveira Barata, Eduardo, Firth, Charlotte, Khean, Nariddh, London, Kerry, Feng, Yingbin and Watt, Rodney
year	2019
title	CoBuilt - Towards a novel methodology for workflow capture and analysis of carpentry tasks for human-robot collaboration
doi	https://doi.org/10.52842/conf.ecaade.2019.3.207
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 207-216
summary	Advanced manufacturing and robotic fabrication for the housing construction industry is mainly focused on the use of industrial robots in the pre-fabrication stage. Yet to be fully developed is the use on-site of collaborative robots, able to work cooperatively with humans in a range of construction trades. Our study focuses on the trade of carpentry in small-to-medium size enterprises in the Australian construction industry, seeking to understand and identify opportunities in the current workflows of carpenters for the role of collaborative robots. Prior to presenting solutions for this problem, we first developed a novel methodology for the capture and analysis of the body movements of carpenters, resulting in a suite of visual resources to aid us in thinking through where, what, and how a collaborative robot could participate in the carpentry task. We report on the challenges involved, and outline how the results of applying this methodology will inform the next stage of our research.
keywords	Robotic Fabrication; Collaborative Robots; Training Methodology; Machine Learning; Interaction Analysis
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	acadia19_532
id	acadia19_532
authors	Retsin, Gilles
year	2019
title	Toward Discrete Architecture: Automation Takes Command
doi	https://doi.org/10.52842/conf.acadia.2019.532
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 532-541
summary	This paper describes a framework for discrete computational design and fabrication in the context of automation. Whereas digital design and fabrication are technical notions, automation immediately has societal and political repercussions. Automation relates to industrialization and mechanisation—allowing to historically reconnect the digital while bypassing the post-modern, deconstructivist, or parametric decades. Using a series of built prototypes making use of timber, this paper will describe how the combined technologies of automation and discreteness enable both technical efficiencies and new architectural interest. Both projects are based on timber sheet materials, cut and folded into larger elements that are then assembled into functional structures. Both projects are also fragments of larger housing blocks. Discrete building blocks are presented from a technical perspective as occupying a space in between programmable matter and modular prefabrication. Timber is identified as an ideal material for automated discrete construction. From an architectural perspective, the paper discusses the implications of an architecture based on parts that remain autonomous from the whole.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_280
id	ecaadesigradi2019_280
authors	Rossi, Gabriella and Nicholas, Paul
year	2019
title	Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces
doi	https://doi.org/10.52842/conf.ecaade.2019.2.201
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 201-210
summary	Collaborative Robots, or Cobots, bring new possibilities for human-machine interaction within the fabrication process, allowing each actor to contribute with their specific capabilities. However creative interaction brings unexpected changes, obstacles, complexities and non-linearities which are encountered in real time and cannot be predicted in advance. This paper presents an experimental methodology for robotic path planning using Machine Learning. The focus of this methodology is obstacle avoidance. A neural network is deployed, providing a relationship between the robot's pose and its surroundings, thus allowing for motion planning and obstacle avoidance, directly integrated within the design environment. The method is demonstrated through a series of case-studies. The method combines haptic teaching with machine learning to create a task specific dataset, giving the robot the ability to adapt to obstacles without being explicitly programmed at every instruction. This opens the door to shifting to robotic applications for construction in unstructured environments, where adapting to the singularities of the workspace, its occupants and activities presents an important computational hurdle today.
keywords	Architectural Robotics; Neural Networks; Path Planning; Digital Fabrication; Artificial Intelligence; Data
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_047
id	cf2019_047
authors	Schaumann, Davide ;Samuel S. Sohn, Muhammad Usman, Brandon Haworth, Petros Faloutsos and Mubbasir Kapadia
year	2019
title	Spatiotemporal Influence and Affordance Maps for Occupant Behavior Simulation
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 412-429
summary	Simulating the impact that built environments produce on human behavior prior to a building’s construction and occupancy is a complex task in architectural design. Current simulation approaches provide a limited representation of how dynamic spatial, social and environmental conditions affect the behavior of autonomous virtual occupants. We address this issue by means of influence maps – spatial representations of the influence that dynamic stimuli exert on an occupant at a specific time. To support an agent’s decisionmaking, we construct affordance maps that determine possible space-occupant interactions based on the combination of normalized influence maps, weighed by occupant preferences. We demonstrate the proposed approach by simulating the diverse spatial behaviors of virtual occupants in a social setting in response to dynamic stimuli.
keywords	Influence maps, Affordance maps, Spatial behavior Simulation, Building Occupancy, Multi-agent systems
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

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