Workshop #2 – Instructive Human Robot Collaboration and Multi-Actor task sharing in timber prefabrication
Extend the knowledge and introduce novel approaches of human-robot collaboration and workflow management with several humans and machines in the prefabrication environment.
Workshop #3 – From point cloud to materialized point structure. Creation of 3D printed ceramic objects designed via manipulation of 3D pointclouds encoded as 2D images
Creation of 3D printed ceramic objects designed via manipulation of 3D pointclouds encoded as 2D images.
Workshop #4 – Freely shaped reinforced concrete design
Design of lightweight RC structures using material-biased optimization techniques and their practical implementation
Workshop #5 – Botanical and mathematical principles for inspiring design of carbon fibre reinforced concrete
The workshop’s objective is to give an overview of an interdisciplinary process of inspiration for novel concrete structures reinforced with carbon (textiles).
Workshop #6 – Additive Manufacturing in Construction: In situ Retrofitting Using AM with Mobile Robots
In this workshop we aim to experimentally explore whether the deployment of mobile robots on building sites could be utilized for retrofitting, customized renovation, or repair by applying in situ extrusion 3D printing technology.
Workshop #7 – participation in the Conference „Adaptive Skins and Structures for the Built Environment of Tomorrow“
The Conference „Adaptive Skins and Structures for the Built Environment of Tomorrow“ provides insights into the works of the Collaborative Research Centre 1244 with a focus on the world's first adaptive high-rise building!
Workshop #8 – COMPAS – A framework for computational research in architecture and structures
Introduction to the COMAPS computational framework, basic installation, set-up, orientation and skills building. Overview of COMAS Extensions
Workshop #9 – ml meets aec / machine learning meets architecture, engineering and construction
The workshop’s objective is to find matching points between participants' ongoing research, to explore ML methods that can solve integrative computational design and construction challenges, and to increase the synergy between students from different disciplines.