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Dynamic Molding
International Workshop
2020/08/01
This research explores the ideas of human-robot collaboration in manufacturing and architecture for the purpose of expanding the ways we work and design with material systems in partially automated workflows. The aim was to develop a custom framework allowing fast prototyping in the field of robotic 3d printing.
We use PETG (Polyethylenterephthalat), which is the most common thermoplastic polymer resin of the polyester family and is used in fibers for clothing, containers for liquids and foods, thermoforming for manufacturing, and in combination with glass fiber for engineering resins. (Wikipedia)
In this week-long workshop, our team integrated a real-time scanning and printing workflow. The scanning workflow starts with scan the rough cloud points of the curved metal mold which is held by KUKA KR-90 robots, The dynamic setting allows the robot to bend and reshape the mold for the purpose of achieving different geometrical outcomes. Once the geometry was requested, the mold is bent to approximate the goal geometry. Next step, we use Microsoft hololens 2 to scan the rough 3d surface of the mold to generate the rough scanning tool path for KR-90's. By integrating the high precision dot Liadar with the 3d printing gun on the end-effector, KR-90 KUKA robotic arms are now capable of scanning and printing to respond to the instant request from the TACO 2 (https://www.food4rhino.com/app/taco-abb) PLC control component.
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