[2016] DIOD An interactive lighting installation using Kinect to
map topologies and project levels with a projector.
[2016] Weti A responsive environmental system using Arduino and
a moisture sensor to monitor the clay’s hydration levels.
Publications
[2021] JAVID: A Grasshopper Plugin for Image ProcessingAn image-processing plugin for Grasshopper that generates artistic two-dimensional graphical images from bitmap files.
Link to JAVID on Food4Rhino [2021] IAC: A Grasshopper Plugin for Mathematics and GeometryA Grasshopper plugin featuring components for mathematics and geometry, designed to enhance data processing speed and address missing functionalities in Grasshopper workflows.
Authors: Mahdiyar Esmailbeigi, Parisa Afshari, Ghazaleh Elyasi, Maedeh Fallah, Mohammad Mehdi Jalali, Atena Meshkat, Laleh Moradi, Hamid Peiro, Ali Sa’adati, Helia Zakeri, Fatemeh Zarei
(Names are sorted alphabetically.)
Research: Gramazio Kohler Research, ETH Zurich
Team: MAS DFab Class 2023/24
In Collaboration With: #dfdu AG (Stefan M. Seydel), Nicolas Fehlmann Ingénieurs Conseils SA, Studio UH Architects ETH SIA
Client: Gemeinde Disentis/Mustér
Selected Experts: Bearth Lenn AG, Prof. Daniela Mitterberger (COMPAS_XR), Strabag AG Disentis/Mustér, Ziqi Wang (Task Sequencing and Allocation)
Sponsor: Bearth Lenn AG, Schilliger Holz AG, Strabag AG Disentis/Mustér
CaschlatschThe Caschlatsch Demonstrator is a timber frame structure currently being built in the canton of Graubünden, commissioned by the municipality of Disentis/Mustér. Developed by Gramazio Kohler Research (GKR) in collaboration with a team from Disentis/Mustér, the project highlights the integration of human expertise and machine technology. This structure will not only serve as a striking landmark but will also be accessible to hikers, offering both functional and artistic value.
Human-Robot Collaboration
The design of the Caschlatsch demonstrator is being developed using parametric tools by students from the Master of Advanced Studies Digital Fabrication (MAS ETH DFAB) at ETH Zurich, with testing in collaboration with local partners through VR glasses. Both the design tools and the processes for human-machine collaboration are experimental and stem from GKR research. This human-machine collaboration blends the craftsmanship of humans with the precision of robotic arms. Using an augmented reality interface, the craftsman’s team maintains control throughout the process, allowing them to compare the built structure with the digital model at any point and adjust the distribution of tasks between humans and robots as needed.