Jansen, Chipp ORCID: https://orcid.org/0000-0003-2951-6396, Ma, Zhengtao ORCID: https://orcid.org/0009-0009-2775-4412, Hatfield, Lissy ORCID: https://orcid.org/0009-0003-1442-7072, Tuo, Boyuan ORCID: https://orcid.org/0000-0003-3674-2260, Ozden Yenigun, Elif ORCID: https://orcid.org/0000-0003-2295-5601, Baurley, Sharon ORCID: https://orcid.org/0000-0003-1760-759X and Wang, Stephen Jia ORCID: https://orcid.org/0000-0001-9835-9932, 2024, Conference or Workshop, Textile Robotic Interaction for Designer-Robot Collaboration at 2024 ACM/IEEE International Conference on Human-Robot Interaction, Boulder, CO, USA, 11–14 Mar 2024.
Abstract or Description: | This late-breaking report 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 code to produce robot motion paths are made publically available. |
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Official URL: | https://doi.org/10.1145/3610978.3640722 |
Subjects: | Other > Mathematical and Computer Sciences > G400 Computer Science Other > Mathematical and Computer Sciences > G700 Artificial Intelligence Other > Engineering > H600 Electronic and Electrical Engineering > H670 Robotics and Cybernetics > H671 Robotics Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design > W231 Textile Design |
School or Centre: | Research Centres > Materials Science Research Centre |
Funders: | Funded by the Laboratory for Artificial Intelligence in Design under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government |
Additional Information: | Presentation Video: https://vimeo.com/922017667 |
Date Deposited: | 03 Apr 2024 13:54 |
Last Modified: | 03 Apr 2024 13:54 |
URI: | https://researchonline.rca.ac.uk/id/eprint/5785 |
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