Biomimetic Robotic Construction Process An approach for adapting mass irregular-shaped natural materials

Chi Li Cheng, June Hao Hou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Beaver dams are formed by two main processes. One is that beavers select proper woods for constructing. The other one is that streams aggregate those woods to be assembled. Using this approach to construction structure is suitable for natural environment. In this paper, we attempt to develop a construction process which is suitable for all-terrain construction robot in the future. This construction process is inspired by beavers' construction behavior in nature. Beavers select proper sticks to make the structure stable. We predict that particular properties of sticks contribute gravity-driven assembly of wood structure. Thus, we implement the system with machine learning to find proper properties of sticks to improve selection mechanism of construction process. During this construction process, 3D scanner on robotic arm scans and recognizes sticks on terrain, and then robot will select proper sticks and place them. After placement, the system will scan and record the results for learning mechanism.

Original languageEnglish
Title of host publicationComplexity and Simplicity
EditorsAulikki Herneoja, Toni Österlund, Piia Markkanen
PublisherEducation and research in Computer Aided Architectural Design in Europe
Pages133-142
Number of pages10
ISBN (Print)9789491207105
DOIs
StatePublished - 2016
Event34th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2016 - Oulu, Finland
Duration: 24 Aug 201626 Aug 2016

Publication series

NameProceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Volume1
ISSN (Print)2684-1843

Conference

Conference34th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2016
Country/TerritoryFinland
CityOulu
Period24/08/1626/08/16

Keywords

  • Biomimetic Design
  • Machine Learning
  • Natural Material
  • Point Cloud Analysis
  • Robotic Fabrication

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