Reforming Shapes for Material‐aware Fabrication

Yang, Yongliang; Wang, Jun; Mitra, Niloy J.

doi:10.1111/cgf.12696

Cited by 7 publications

(6 citation statements)

References 42 publications

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“…In contrast, a chair fabricated from soft wood will need thicker legs in order to not break. Mesh2Fab [107] solves this problem by adapting a model's geometry based on the available material by either thickening parts or correcting the contact angles between them.…”

Section: Methodsmentioning

confidence: 99%

Interacting with personal fabrication devices

Mueller

2018

It - Information Technology

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Personal fabrication tools, such as 3D printers, are on the way of enabling a future in which non-technical users will be able to create custom objects. While the hardware is now affordable and the number of people who own a 3D printer is increasing, only few create new 3D models. Most users download models from a 3D model database and after downloading fabricate them on their 3D printers. At most, users adjust a few parameters of the model, such as changing its color or browsing between predetermined shape options.I argue that personal fabrication has the potential for more: Instead of only consuming existing content, I envision a future in which non-technical users will create objects only trained experts can create today. While there are many open challenges for human-computer interaction, such as abstracting away the necessarydomainandmachineknowledge, I focus on improving theinteraction modelunderlying current personal fabrication devices.In this article, I illustrate why today’s interaction model for personal fabrication tools is not suitable for non-technical users. For this, I draw an analogy to the development of the user interface in personal computing and show how solutions developed by human-computer interaction researchers over the last decades can be applied to this new domain. I analyze the challenges when creating interactive systems for personal fabrication and describe six research prototypes I built to overcome these challenges. I discuss the limitations of these systems and conclude with an overview of recent advancements in personal fabrication that will allow us to go beyond what is possible today.

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Section: Methodsmentioning

confidence: 99%

Interacting with personal fabrication devices

Mueller

2018

It - Information Technology

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“…In the carpentry domain, grammars have also been used outside of reverse engineering tasks, including interactive design systems [UIM12; KLY∗14; SFJ∗17; GJG16; FSY∗15] and optimization of fabrication plans [YWM15; KHLM17; LVLR19; LOMI11; WZN∗19]. Our work uses similar fabrication‐aware representations for reverse‐engineering.…”

Section: Related Workmentioning

confidence: 99%

Fabrication‐Aware Reverse Engineering for Carpentry

James

Zhao

Curless

et al. 2021

Computer Graphics Forum

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We propose a novel method to generate fabrication blueprints from images of carpentered items. While 3D reconstruction from images is a well‐studied problem, typical approaches produce representations that are ill‐suited for computer‐aided design and fabrication applications. Our key insight is that fabrication processes define and constrain the design space for carpentered objects, and can be leveraged to develop novel reconstruction methods. Our method makes use of domain‐specific constraints to recover not just valid geometry, but a semantically valid assembly of parts, using a combination of image‐based and geometric optimization techniques. We demonstrate our method on a variety of wooden objects and furniture, and show that we can automatically obtain designs that are both easy to edit and accurate recreations of the ground truth. We further illustrate how our method can be used to fabricate a physical replica of the captured object as well as a customized version, which can be produced by directly editing the reconstructed model in CAD software.

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“…A similar system was developed by Schulz et al [14] which additionally supports users in exploring design alternatives for furniture design. Using the system of Yang [37], a furniture model can be optimized to match the specific qualities of the material used during the fabrication process. To facilitate furniture design further, sketching interfaces have been developed for furniture design [15,22].…”

Section: Cad For Carpentry and Furniture Designmentioning

confidence: 99%

JigFab

Leen

Veuskens

Luyten

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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We present JigFab, an integrated end-to-end system that supports casual makers in designing and fabricating constructions with power tools. Starting from a digital version of the construction, JigFab achieves this by generating various types of constraints that configure and physically aid the movement of a power tool. Constraints are generated for every operation and are custom to the work piece. Constraints are laser cut and assembled together with predefined parts to reduce waste. JigFab's constraints are used according to an interactive step-by-step manual. JigFab internalizes all the required domain knowledge for designing and building intricate structures, consisting of various types of finger joints, tenon & mortise joints, grooves, and dowels. Building such structures is normally reserved for artisans or automated with advanced CNC machinery.

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Reforming Shapes for Material‐aware Fabrication

Cited by 7 publications

References 42 publications

Interacting with personal fabrication devices

Interacting with personal fabrication devices

Fabrication‐Aware Reverse Engineering for Carpentry

JigFab

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