https://discreteautomobility.com discrete automobility Sat, 14 May 2022 21:05:54 +0000 https://discreteautomobility.com en https://discreteautomobility.com/Front-page Sat, 14 May 2022 21:05:52 +0000 discrete automobility https://discreteautomobility.com/Front-page This PhD proposes Discrete Automobility, a new design methodology for CASE vehicle interiors inspired by discrete architectural construction. It reframes the designer’s role from direct form-giver to systems architect, orchestrating parameters and workflows rather than artefacts. By applying computational and automated techniques to physical prototyping, the research offers a more flexible, reconfigurable design approach suited to shared, autonomous mobility. Rooted in the Second Digital Turn, it argues that automation and AI do not diminish creativity but shift it toward indirect, system-based modes of authorship—offering new possibilities for sustainable, ‘post-Fordist’ design. <img width="1000" height="667" width_o="1000" height_o="667" data-src="https://freight.cargo.site/t/original/i/38a8bfeaa5af421f999a4ef97e283854f1765d0f64b8495421ad79fae0778431/Untitled-1-02.png" data-mid="143481276" border="0" src="https://freight.cargo.site/w/1000/i/38a8bfeaa5af421f999a4ef97e283854f1765d0f64b8495421ad79fae0778431/Untitled-1-02.png" /> <img width="1000" height="667" width_o="1000" height_o="667" data-src="https://freight.cargo.site/t/original/i/a844418fab03771a139ea1c2b301629c9d387dc98a3e88a231f2b1e67e327df3/Untitled-1-01.png" data-mid="143481274" border="0" src="https://freight.cargo.site/w/1000/i/a844418fab03771a139ea1c2b301629c9d387dc98a3e88a231f2b1e67e327df3/Untitled-1-01.png" /> https://discreteautomobility.com/Mobile-nav Sat, 14 May 2022 21:05:52 +0000 discrete automobility https://discreteautomobility.com/Mobile-nav Welcome to Discrete Automobility Computational designAutomated assemblyExtended abstractWorkshops &amp; learningFurther reading Email About Work-in-progress 2022-05-16 https://discreteautomobility.com/Computational-design Sat, 14 May 2022 21:05:53 +0000 discrete automobility https://discreteautomobility.com/Computational-design This video serves as an introduction to computational design and the fundamentals of a discrete automobility workflow - which could offer the increased utilisation rates demanded by CASE mobility. Discrete construction is an emerging field of experimental architecture. Borrowing from computer science, it proposes highly flexible construction methods. It starts with a singular, mass produced part, a voxel, which,&nbsp; utilising computational design and automated assembly, can be repeatedly reconfigured into infinite designs. The Discrete seeks to address issues of automation in a progressive manner. It questions the role of the designer, reframing their practice away from the direct manipulation of material, and towards the creation of systems and platforms, a form of indirect creativity. It questions the power of the designer, and purposes automation to seek a more democratic future. ‘Education brick’ is not concept car. It is a concept manufacturing system. Imagine a vehicle interior, the design of which was not fixed, but infinitely adaptable, reassembled for each trip, for each individual, adjusted for optimal utility, comfort and experience. ‘Education brick’ is the first ever Discrete Auto-mobility concept, designed to teach these principles and methods to an automotive audience; to test them, to refine them, and to encourage a broader discussion, on issues of automation. The designer’s role is changed, they create the conditions within which design occurs. It raises questions; Who truly owns a design? What agency does the user have?&nbsp; https://discreteautomobility.com/Automated-assembly Sat, 14 May 2022 21:05:53 +0000 discrete automobility https://discreteautomobility.com/Automated-assembly This video documents 1:1 scale assembly of 'education block', which has been designed to teach these methods to an automotive audience. Bricks are constructed from modelling foam, north/south magnets and assembled with an Automata Eva robot arm. https://discreteautomobility.com/Extended-abstract Sat, 14 May 2022 21:05:53 +0000 discrete automobility https://discreteautomobility.com/Extended-abstract 1. Reframing the designer’s role in the computational age This thesis reimagines the role of the automotive designer in an era increasingly shaped by automation, AI, and computational design. Positioned within the disruptive context of Connected, Autonomous, Shared, and Electric (CASE) mobility and grounded in the architectural discourse of Mario Carpo’s Second Digital Turn, it proposes a shift in automotive design practice: from the manipulation of material form to the orchestration of design parameters within dynamic, data-rich systems. Through a Practice as Research methodology, the thesis introduces Discrete Automobility, a speculative platform-based approach to vehicle interior design inspired by discrete construction techniques from architecture. In this model, the designer becomes a systems architect—crafting rule sets, spatial grammars, and manufacturing frameworks rather than singular forms. The research engages deeply with the critical limitations of current automotive design practice, arguing that its entanglement with legacy production models and aesthetic branding strategies undermines its ability to address pressing sustainability, flexibility, and utilisation challenges associated with CASE. The proposed methodology instead leverages automated design-to-construction workflows and robotically fabricated modular components to produce interiors that are not fixed, but reconfigurable in response to varied user needs. The thesis makes an epistemological contribution by articulating a mode of design that is indirect—more about enabling, constraining, and setting conditions than about authorial expression. This indirectness is not a diminishment of creativity, but a reconceptualisation of it, aligned with broader cultural shifts in computation, automation, and shared authorship. By building, testing, and publicly exhibiting the Education Brick and related prototypes, the research embodies its knowledge claim and invites a critical rethinking of design practice in the automotive field and beyond. 2. Sustainability and the CASE imperative As the climate crisis intensifies and global mobility paradigms shift toward CASE (Connected, Autonomous, Shared, Electric), this thesis argues for a fundamental rethinking of automotive design. Positioned against the backdrop of overproduction, underutilisation, and unsustainable material lifecycles, the research proposes a design-led intervention: Discrete Automobility, a novel circular design and construction methodology that allows interiors to be disassembled, adapted, and reused in a platform-based system. Developed through a Practice as Research methodology, the work adapts discrete architectural techniques—originally developed for flexible, parametric building systems—to the automotive interior. It critiques the industry’s overreliance on branded form, material luxury, and underutilised volume, showing how current practices fail to meet the utilisation, adaptability, and carbon-reduction demands of future mobility systems. Instead, it prototypes a system that could support lower-volume, high-variance vehicle interiors that respond dynamically to shared use and diverse needs.The practice component includes the Education Brick and other demonstrators that explore robotic fabrication, modular assembly, and rules-based configuration. These are not speculative gestures but working systems, grounded in computational logic and material pragmatism. Through these artefacts, the thesis offers a new production logic for interiors that aligns with circular economy principles and CASE priorities.This research contributes new knowledge by showing how design can drive more meaningful sustainability impacts—not through surface materials or offsets, but through radical changes to production logic, use cycles, and the spatial programmes of mobility itself. It positions the designer as a critical agent of systems-level transformation, equipped to lead rather than follow in the move toward decarbonised transport. 3. Practice as Research in a Post-Fordist Design Economy This thesis explores how Practice as Research (PaR) can generate new knowledge at the intersection of design, architecture, and emerging technology. Taking the automotive interior as a critical site, the research applies discrete design and robotic construction techniques—originally developed in architectural academia—to propose a radical alternative to conventional vehicle design practice. The resulting methodology, termed Discrete Automobility, foregrounds adaptability, parametric variation, and localised construction, in contrast to the fixed forms and centralised production of the post-Fordist car industry. The thesis positions PaR not as a supplement to theory but as a primary mode of epistemological inquiry. Through prototyping, fabrication, and public dissemination, it demonstrates how material practice can critique and transform disciplinary assumptions—especially around authorship, aesthetics, and the role of the designer in computational systems. Influenced by Mario Carpo’s Second Digital Turn, the work argues for a shift in design agency: from making forms to scripting conditions for emergence. The research is significant for its methodological hybridity, combining speculative design, computational workflows, and critical theory in a cross-disciplinary praxis. It proposes that designers today must operate more like programmers or strategists—setting up platforms rather than crafting products, enabling systems rather than prescribing outcomes. This is particularly urgent in the context of CASE mobility, where the design of adaptive, sustainable systems is both a creative and ethical imperative. https://discreteautomobility.com/Workshops-learning Sat, 14 May 2022 21:05:54 +0000 discrete automobility https://discreteautomobility.com/Workshops-learning Please get in touch to arrange for an introductory lecture or workshop on discrete automobility Update 23rd May 2022 How could layouts be determined? The example below is from the Computational design video, and uses 18 bricks, for a 4 person family, who are using the vehicle for a short, relaxed journey. The file name is: 18blk_4p_family_play_no1.3dm 18blk = number of blocks in design4p = number of people using it family = judgement of intimacy level1 play = judgement of activity2 no1 = specific design is assigned a number3 1Based on four imagined intimacy levels:&nbsp;Personal,&nbsp;Friends,&nbsp;Family or&nbsp;Public. This might determine the spacing between people, the angle they are facing, etc. 2Based on four imagined activity levels: Rest, Work, Play. This could further determine aspets of layout such as if there is a desk/table, seating relationships, etc) 3Once the design has been optimised by analysis - an endless list - e.g. sunlight or view analysis, and robotic assembly toolpaths have been created, then a number is assigned to the specific design, which&nbsp;could theoretoically run into infinity. 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data-src="https://freight.cargo.site/t/original/i/d3859d951dbccc8aa5773c3f3907ce344f6611b6e93b4f7522d70ef79b74d984/IMG_0233.jpeg" data-mid="142977501" border="0" src="https://freight.cargo.site/w/1000/i/d3859d951dbccc8aa5773c3f3907ce344f6611b6e93b4f7522d70ef79b74d984/IMG_0233.jpeg" /> <img width="4032" height="3024" width_o="4032" height_o="3024" data-src="https://freight.cargo.site/t/original/i/4e33b971386f114726175457778eca37f10efe45e50a7393745aeca4370b9fd5/IMG_0662.jpeg" data-mid="142977505" border="0" src="https://freight.cargo.site/w/1000/i/4e33b971386f114726175457778eca37f10efe45e50a7393745aeca4370b9fd5/IMG_0662.jpeg" /> https://discreteautomobility.com/Further-reading Sat, 14 May 2022 21:05:54 +0000 discrete automobility https://discreteautomobility.com/Further-reading ARCHITIZER. 2020. ‘AUAR Home-Office’. 2020. 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