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RECONstruction

A Survey of Surface Scanning Techniques for Architectural Substrates in Robotic Assembly

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Robotic Fabrication in Architecture, Art and Design 2016

Abstract

While there has been substantial development in the use of industrial robots for the tool pathing and assembly of fabrication components for architecture, there exists a scope for improving a methodology for the mapping of material substrate in architectural construction settings. Construction tolerances posit a problem since they vary widely from rough to finish applications and are often at odds with the demanding precision required in robotic fabrication processes. This paper discusses a series of tests of scanning techniques on three example substrates typical to wood construction, including: lath for plastering and stucco, spaced sheathing for cedar shingles, and traditional stick framing. Scanning substrates accounts for the gaps in tolerance that emerge from rough to finish construction such as variation in as-built dimensions, misalignment of members, and the adaptive behavior of materials as they adjust to new conditions. From a comparison of scanning techniques, a cost benefit matrix is developed to aid in evaluating the appropriate application of scanning techniques for various robotic applications.

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Notes

  1. 1.

    Hal.thibaultschwartz.com.

References

  • Ballast D, 1994, Handbook of Construction Tolerances, McGraw-Hill, New York.

    Google Scholar 

  • Feng, C et al., 2014, ‘Towards Autonomous Robotic In-Situ Assembly on Unstructured Construction Sites Using Monocular Vision’, Automation and Robotics in Construction and Mining (ISARC), 31st Symposium, pp.163–170.

    Google Scholar 

  • Lee, S and Moon, J 2014, ‘Introduction of Human-Robot Cooperation Technology at Construction Sites,’ Automation and Robotics in Construction and Mining (ISARC), 31st Symposium, pp. 978–983.

    Google Scholar 

  • Schwartz, T, Bard, J, Ganon, M, Jacobson-Weaver, Z, Jeffers, M and Tursky, R 2014, ‘All Bent Out’, in McGee, W and Ponce de Leon M (eds), Robotic Fabrication in Architecture, Art and Design’, pp. 305–317.

    Google Scholar 

  • Vähä, P, Heikkila, T, Kilpelainen, P, Jarviluoma, M, Gambao, E, 2013, ‘Extending Automation Of Building Construction—Survey On Potential Sensor Technologies And Robotic Applications’, Automation in Construction, Vol.36, pp.168–178.

    Article  Google Scholar 

  • Vasey, L, Maxwell, I and Pigram, D 2014, Adaptive Part Variation, Robotic Fabrication in Architecture, Art and Design, pp. 291–304.

    Google Scholar 

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Acknowledgments

Special thanks to research assistants Brian Smith, David Blackwood, Nidhi Sekhar. Autodesk’s beta version of Memento was used to for the photogrammetry section of this research. Optitrack Cameras were used for all motion capture. HAL Robot Programming and Control was used to stream MOCAP sessions into Grasshopper.Footnote 1

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Correspondence to Joshua Bard .

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© 2016 Springer International Publishing Switzerland

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Bard, J., Tursky, R., Jeffers, M. (2016). RECONstruction. In: Reinhardt, D., Saunders, R., Burry, J. (eds) Robotic Fabrication in Architecture, Art and Design 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-26378-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-26378-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26376-2

  • Online ISBN: 978-3-319-26378-6

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