TY - GEN
T1 - Interactive Robotic Plastering
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Mitterberger, Daniela
AU - Ercan Jenny, Selen
AU - Vasey, Lauren
AU - Lloret-Fritschi, Ena
AU - Aejmelaeus-Lindström, Petrus
AU - Gramazio, Fabio
AU - Kohler, Matthias
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - This paper presents Interactive Robotic Plastering (IRoP), a system enabling designers and skilled workers to engage intuitively with an in-situ robotic plastering process. The research combines three elements: interactive design tools, an augmented reality interface, and a robotic spraying system. Plastering is a complex process relying on tacit knowledge and craftsmanship, making it difficult to simulate and automate. However, our system utilizes a controller-based interaction system to enable diverse users to interactively create articulated plasterwork in-situ. A customizable computational toolset converts human intentions into robotic motions while respecting robotic and material constraints. To accomplish this, we developed both an interactive computational model to translate the data from a motion-tracking system into robotic trajectories using design and editing tools as well as an audio-visual guidance system for in-situ projection. We then conducted two user-studies of designers and skilled workers who used IRoP to design and fabricate a full-scale demonstrator.
AB - This paper presents Interactive Robotic Plastering (IRoP), a system enabling designers and skilled workers to engage intuitively with an in-situ robotic plastering process. The research combines three elements: interactive design tools, an augmented reality interface, and a robotic spraying system. Plastering is a complex process relying on tacit knowledge and craftsmanship, making it difficult to simulate and automate. However, our system utilizes a controller-based interaction system to enable diverse users to interactively create articulated plasterwork in-situ. A customizable computational toolset converts human intentions into robotic motions while respecting robotic and material constraints. To accomplish this, we developed both an interactive computational model to translate the data from a motion-tracking system into robotic trajectories using design and editing tools as well as an audio-visual guidance system for in-situ projection. We then conducted two user-studies of designers and skilled workers who used IRoP to design and fabricate a full-scale demonstrator.
KW - augmented reality
KW - digital fabrication
KW - interactive fabrication
KW - robot
UR - http://www.scopus.com/inward/record.url?scp=85130561246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130561246&partnerID=8YFLogxK
U2 - 10.1145/3491102.3501842
DO - 10.1145/3491102.3501842
M3 - Conference contribution
AN - SCOPUS:85130561246
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -