Chipp researches Materials and Robotics for sustainability and human experience at the Materials Science Research Centre, with a background in AI, engineering and creative computing.
Specialising in physical AI, Chipp is researching how robotics contributes towards a more sustainable textile circular economy.
Previously he worked as part of the AiDLab at the RCA developing design tools for perception and selection of textiles as part of MSRC’s Sensory Materials Library.
In addition, he researched Circular Supply Chains at the Textiles Circularity Centre at the MSRC, with a focus on bridging novel biomaterials research with consumer experience research.
Chipp completed his PhD in Robotics at King’s College London in Co-Creative Drawing Systems. He has an industry background in data visualisation for large scale behaviour change models. He also has teaching experience in computer science and creative computing in the UK (King’s College London, Brunel University) and the US (City University of New York, Pratt Institute, Cornell University and the University of Michigan).
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Research interests
Chipp's broader research interests are in building interdisciplinary bridges with robotics / computer science and art / design through developing platforms for creation focusing on the practises and workflows for artists, creators, makers, artisans and crafters. He is also interested in the livelihood for artists in a world of increased automation and commodities artificial creativity.
He is passionate about circularity in consumer electronics and encourages re-use through hardware hacking, reverse engineering and re-imagining the electronics waste flow.
Research funding
Doctoral Fellowship, “Collaborative Drawing Systems”, Engineering and Physical Sciences Research Council (EPSRC) UK (2017–21)
Publications, exhibitions, other outcomes
Ma, Z., Hatfield, L., Jansen, C., Tuo, B., Ozden Yenigun, E., Baurley, S., Jia Wang, S., and Pyo Lee, K. (2024) Workshopping the Textile Hand: Reimagining Subjective Assessment of Textile Materials with Digital Technologies, in Gray, C., Ciliotta Chehade, E., Hekkert, P., Forlano, L., Ciuccarelli, P., Lloyd, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.536
Jansen, C., Ma, Z., Hatfield, L., Tuo, B., Ozden Yenigun, E., Baurley, S., Jia Wang, S., and Pyo Lee, K. (2024). Textile Robotic Interaction for Designer-Robot Collaboration. In HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 563-567). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE Computer Society. https://doi.org/10.1145/3610978.3640722
Jansen, C. and Sklar, E. (2021) Predicting Artist Drawing Activity via Multi-camera Inputs for Co-creative Drawing. In: Fox C., Gao J., Ghalamzan Esfahani A., Saaj M., Hanheide M., Parsons S. (eds) Towards Autonomous Robotic Systems. TAROS 2021. Lecture Notes in Computer Science, vol 13054. Springer, Cham., pp. 217-227.
Jansen, C. and Sklar, E. (2021) Exploring Co-creative Drawing Workflows. Front. Robot. AI 8:577770. doi: 10.3389/frobt.2021.577770.