Julien Gamerro

Biography

After obtaining his A-level in science, Julien worked with the Compagnons du Tour de France to learn the carpentry trade. This atypical path has led him to continue his studies in the timber industry. He graduated with a master in Engineering Sciences of the National School of Wood Technology and Industries (ENSTIB) in France and he acquired a master in Business Administration (MBA) in the meantime. He is now part of the NCCR Digital Fabrication as a researcher at the Chair of Timber Construction at EPFL.

Official source

https://people.epfl.ch/julien.gamerro

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Projector-based augmented stacking framework for irregularly shaped objects

Edward Ando, Katrin Beyer, Julien Gamerro, Andrea Settimi, Qianqing Wang, Yves Weinand

Augmented reality in additive fabrication is predominantly applied to the manufacturing of structures from regularly shaped materials. Our work however embraces natural heterogeneity, by focusing on the assembly of irregularly shaped elements such as mineral scraps. We introduce a computer-aided framework with a 3D stacking engine and an augmented reality interface capable of guiding users through the balanced positioning of discrete and highly nonuniform objects according to an on-the-fly computed model and without prior trimming of the building unit. The pipeline is tested by the construction of two dry-stone structures (i.e., lacking any adhesives), and its accuracy is validated with a comparative study between the point cloud of the as-built digitized artifacts and the generated execution model, which shows an average 2.9 ± 1.8 cm error between the stones of the two models. We finally show how the proposed framework could be improved both in terms of software and hardware. In the interests of reproducibility, all the methods are shared as open source with the community.

2023

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An ordinary electric drill was integrated into a context-aware augmented reality (AR) framework to assist in timber-drilling tasks. This study is a preliminary evaluation to detail technical challenges, potential bottlenecks, and accuracy of the proposed object- and tool-aware AR-assisted fabrication systems. In the designed workflow, computer vision tools and sensors are used to implement an inside-out tracking technique for retrofitted drills based on a reverse engineering approach. The approach allows workers to perform complex drilling angle operations according to computer-processed feedback instead of drawing, marking, or jigs. First, the developed methodology was presented, and its various devices and functioning phases were detailed. Second, this first proof of concept was evaluated by experimentally scanning produced drillings and comparing the discrepancies with their respective three-dimensional execution models. This study outlined improvements in the proposed tool-aware fabrication process and clarified the potential role of augmented carpentry in the digital fabrication landscape.

2022

augmented-stacking

Edward Ando, Katrin Beyer, Julien Gamerro, Andrea Settimi, Qianqing Wang, Yves Weinand

Augmented Stacking is an augmented system designed to guide inexperienced users through the stacking of complex and irregular geometries. This digital fabrication system was applied to the assembly of one layer of a half-timber dry-stone wall. Augmented Stacking is composed of two components: the stacking algorithm (which calculates the pose for each stone or irregular object fed to the system) and the augmented pipeline to display the information.

2022