Fologram Publications

[Bent]

Authors: Gwyllim Jahn, Andrew Wit, James Pazzi

Abstract:

Over the past two decades, advances in computation, digital fabrication, and robotics have opened up new avenues for the design and production of complex forms, emergent processes, as well as new levels of efficiency. Many of these methods, however, tend to focus on a specific tool, such as the industrial robotic arm. Due to their initial costs and space/power/safety requirements, difficulties associated in creating automated workflows and custom tooling, as well as the need for reliable/repeatable procedures, these tools are often out of reach for the average designer or design institution. Additionally, these tools are typically treated as methods of production rather than collaborators, leaving outcomes that can feel void of craft, with the appearance of a typical CNC machined object. Rather than focusing on a specific production tool for manufacturing, this paper investigates a novel method for holographic handcraft-based production. This holographic augmentation—of simple and easily attainable analog tool sets—allows for the creation of extremely complex forms with high levels of precision in extremely short time frames. Through the lens of the recently completed steam-bent timber installation [BENT] produced at the Tyler School of Art, this paper discusses how Microsoft HoloLens in conjunction with the Fologram software plug-in can be integrated into the entirety of design and production processes as a means of producing a new typology of digital craft.

Holographic Construction

Authors: Gwyllim Jahn, Cameron Newnham, Jackson Wells, Nick van den Berg, Melissa Iraheta

Abstract:

We present a method for generating holographic construction information from parametric models. Holographic models replace 2D drawings and templates with unambiguous, contextual, shared and interactive design information. We show that our method enabled a team of expert bricklayers to complete a section of wall in a fraction of expected construction time and within typical tolerances, measured through comparative analysis of digital models to 3D point cloud scans of as built conditions.

Making in Mixed Reality

Authors: Gwyllim Jahn, Cameron Newnham, Nick van den Berg, Matthew Beanland

Abstract:

The construction industry’s reliance on two-dimensional documentation results in inefficiency, inconsistency, waste, human error, increased cost and the impracticality of architectural experimentation with novel form, structure, material or fabrication approaches. We describe a software platform that enables designers to create interactive holographic instructions that translate design models into intelligent processes rather than static drawings. A prototypical project to design and construct a pavilion from bent mild steel tube illustrates the use of this software to develop applications assisting with the design, fabrication, assembly and analysis of the structure. We further demonstrate that fabrication within mixed reality environments can enable unskilled construction teams to assemble complex structures in short time frames and with minimal errors, and outline possibilities for further improvements.

Self-Organizing Maps for Intuitive Gesture-Based Geometric Modelling in Augmented Reality

Authors: Benjamin Felbrich, Achim Menges, Gwyllim Jahn, Cameron Newnham

Abstract:

Modelling three-dimensional virtual objects in the context of architectural, product and game design requires elaborate skill in handling the respective CAD software and is often tedious. We explore the potentials of Kohonen networks, also called self-organizing maps (SOM) as a concept for intuitive 3D modelling aided through mixed reality. We effectively provide a computational “clay” that can be pulled, pushed and shaped by picking and placing control objects with an augmented reality headset. Our approach benefits from combining state of the art CAD software with GPU computation and mixed reality hardware as well as the introduction of custom SOM network topologies and arbitrary data dimensionality. The approach is demonstrated in three case studies.