[Research] Computer Vision Augmented Digital Fabrication
Master Thesis | University of Stuttgart | ITECH Program | In Collaboration with Yue Qi | 2019-present
An adaptive fabrication system which deals with cumulative deviations.
This project aims to investigate an adaptive fabrication system, which can compensate for cumulative deviations between built- and designed form in real-time. During fabrication, the deviation can be caused by material- and fabrication-related uncertainties, as well as structural deflection. All these three factors exist in the bamboo constructions significantly, which limits the application of this high-performance and sustainable material. To address the challenge, the proposed method leverages vision-based feedback to update future fabrication instructions and provide precise guidance for manual assembly, thereby compensating for the error in every iteration of the building process. This workflow effectively improves the accuracy of manually fabricated structure with natural imperfect material, allowing it to predictable interface with prefabricated building components.
Project Description
This project is currently still under development and will be finished in October, 2020.
Stage achievements have been presented at the 10th DigitalFUTURES Conference hosted by Tongji University in June, 2020 and will be published as a conference paper by Springer in August, 2020.
Acknowledgment
With support of
Institute for Computational Design and Construction (ICD), University of Stuttgart - Prof. AA Dipl.(Hons) Achim Menges, Hans Jakob Wagner, Yasaman Tahouni, Long Nguyen
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart - Benjamin Kaiser
