Joshua Bard
Papers
11
Total Citations
130
H-Index
7
About
Joshua Bard is a leading researcher at the intersection of architecture, digital fabrication, and robotics, whose work reimagines the role of automation in high-skill building trades. His primary research areas include robotic concrete and plaster finishing, human–machine collaboration in construction, and the use of computer vision for fabrication processes. Bard’s major contributions center on developing moldless approaches to creating thermally tuned architectural components, most notably through his Profile-3D-Printing method for robotic concrete surface finishing (40 citations). He has pioneered the application of convolutional neural networks for image classification in robotic plastering (19 citations) and has advanced real-time human–robot collaboration systems that augment traditional craft with digital precision. His influential work “Seeing is Doing” (19 citations) challenges the historical separation between architectural design and construction, proposing synthetic tools that bridge visualization and actualization. Through projects like Morphfaux, Bard probes the proto-synthetic nature of plaster, reviving lost craft techniques for contemporary digital fabrication. His research, consistently published at top venues including ICRA workshops, demonstrates how robotic tooling can enhance—rather than replace—human skill in the building trades.
Research Focus
Key Achievements
Top Papers
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- 6All Bent Out…8 citations · 2014
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