Research Outputs

  • Textile Robotic Interaction for Designer-Robotic Collaboration

    Human-Robotic Interaction conference (HRI 2024)

    Dr. Chipp Jansen, Lissy Hatfield, Boyuan Tuo, Zengtao Ma, Dr Elif Ozden Yenigun, Prof. Sharon Baurley, Prof. Kun-Pyo Lee, Prof. Stephen Wang.

    This late-breaking report for the Human-Robotic Interaction conference (HRI 2024) describes lab-based robot experiments involving two robot arms scanning and interaction with a set of 12 novel sustainable materials programmed with handfeel gestures inspired by how designers evaluate textile materials. The aim of gathering this data is to spur research in robot perception of soft materials and to contribute towards human-robot collaborative design systems. The complete dataset including scanned images, video of interactions accompanied by the robot motion paths is available with code at https://github.com/rca-msrc/textile-robotic-interaction-HRI2024.

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  • Workshop on Human-Centred AI Design Methods to Understand “Textiles Hand”

    DeSForm conference 2023

    Dr. Chipp Jansen, Lissy Hatfield, Boyuan Tuo, Zengtao Ma, Dr Elif Ozden Yenigun, Prof. Sharon Baurley, Prof. Kun-Pyo Lee, Prof. Stephen Wang.

    This collaborative workshop aims to co-generate tactile-based sensorial data for AI design tools. The project teams experienced in AI design methodologies and sensory materials assessment will deliver a material centric design workshop to understand embodied and tacit knowledge of the textiles world. With the contribution of participants, the new design methods to integrate the generated data will be discussed to build on the current state-of-the-art design tools.

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  • The Sensory Materials Library - AiLoupe Pecha Kucha Presentation

    Textile and Place conference 2023

    Lissy Hatfield, Dr. Chipp Jansen, Zengtao Ma, Boyuan Tuo, Dr Elif Ozden Yenigun, Prof. Sharon Baurley.

    Intelligent Design Systems for Innovation is developing AiLoupe, a mobile-app which utilises image recognition to identify, characterise and catalogue materials. It features the Royal College of Art’s Sensory Materials Library, a growing database which includes physical and sensory properties to help designers with materials selection in the product design process.

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  • Human-centred AI design methods to understand intelligent systems design empowered by multisensory experience with textiles

    PAIR conference 2023

    Dr. Chipp Jansen, Lissy Hatfield, Boyuan Tuo, Zengtao Ma, Dr Elif Ozden Yenigun, Prof. Sharon Baurley, Prof. Kun-Pyo Lee, Prof. Stephen Wang.

    Conceiving intelligent systems with human-robot interaction is difficult without first-hand knowledge of design tasks. This poster presents ideation results from a workshopon new forms of human-robotic collaboration primed with human experience of multisensory experiences with textiles. Twenty-five Intelligent System Design students were presented with traditional and contemporary design methods regarding the human experience of textiles, along with the latest research in AI and robotic evaluation of multisensory textile properties. Putting theory into practise, participants then engaged in individual tactile subjective assessments of a selection of fabrics with paper-based bipolar scales followed by group reflection on the process. This led into the brainstorming portion of the workshop with the prompt — How can AI collaboration in material assessments advance the applications intertwining with material tangibility? In order to have a range of ideations - participants voted on application domains and self-organised into groups with specific application focuses. The domains were (in order of popularity) – (1) Well-being and Care, (2) Gaming / Metaverse, (3) Craft, (4) Mobility Design and (5) Product Design. This poster presents a collection of ideas centred around these domains produced by the groups. The practical implications of this workshop was to demonstrate how a human-centred design process focused on multisensory experiences presented in theory and then through tactile practise can contribute towards ideation within intelligent systems design.

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