TY - JOUR
T1 - Augmented drawn construction symbols
T2 - A method for ad hoc robotic fabrication
AU - Pedersen, Jens
AU - Neythalath, Narendrakrishnan
AU - Hesslink, Jay
AU - Søndergaard, Asbjørn
AU - Reinhardt, Dagmar
PY - 2020
Y1 - 2020
N2 - The global construction industry is one the least productive sectors over a 30-year period, which arguably could be related to virtually no implementation of digital and automation technologies within the construction industry. Construction processes arguably consist of expensive manual labor or manual operation of mechanized processes, where hand-drawn markings on work-objects or partly build structures are used to inform and steer the construction process or allows for ad hoc adjustments of elements. As such, the use of on-object, hand-drawn information is considered integral to the modus operandi of a plurality of construction trades, where timber construction and carpentry are of special interest. In contrast, emerging methods of digital production in timber construction implicitly or explicitly seek to eliminate the interpretive component to the construction work, imposing a top-down paradigm of file-to-factory execution. While such systems offer a performance increase compared to manual labor, it is notoriously sensitive to construction tolerances and requires a high level of specialism to be operated, which could alienate craft-educated workers. This research argues that developing methods for digital production compatible with on-site human interpretation and adaptation can help overcome these challenges. In addition, these methods offer the opportunity to increase the robustness and versatility of digital fabrication in the context of the construction site. The article reports on a new method titled “augmented drawn construction symbols” that through a visual communication system converts on-object hand-drawn markings to CAD drawings and sends them to a robotic system. The process is demonstrated on a full-scale prototypical robot setup.
AB - The global construction industry is one the least productive sectors over a 30-year period, which arguably could be related to virtually no implementation of digital and automation technologies within the construction industry. Construction processes arguably consist of expensive manual labor or manual operation of mechanized processes, where hand-drawn markings on work-objects or partly build structures are used to inform and steer the construction process or allows for ad hoc adjustments of elements. As such, the use of on-object, hand-drawn information is considered integral to the modus operandi of a plurality of construction trades, where timber construction and carpentry are of special interest. In contrast, emerging methods of digital production in timber construction implicitly or explicitly seek to eliminate the interpretive component to the construction work, imposing a top-down paradigm of file-to-factory execution. While such systems offer a performance increase compared to manual labor, it is notoriously sensitive to construction tolerances and requires a high level of specialism to be operated, which could alienate craft-educated workers. This research argues that developing methods for digital production compatible with on-site human interpretation and adaptation can help overcome these challenges. In addition, these methods offer the opportunity to increase the robustness and versatility of digital fabrication in the context of the construction site. The article reports on a new method titled “augmented drawn construction symbols” that through a visual communication system converts on-object hand-drawn markings to CAD drawings and sends them to a robotic system. The process is demonstrated on a full-scale prototypical robot setup.
KW - Augmented reality
KW - Augmented robotics
KW - Computational craft
KW - Human machine interface
U2 - 10.1177/1478077120943163
DO - 10.1177/1478077120943163
M3 - Journal article
AN - SCOPUS:85089254760
SN - 1478-0771
VL - 18
SP - 254
EP - 269
JO - International Journal of Architectural Computing
JF - International Journal of Architectural Computing
IS - 3
ER -