Description:
Key Words:
Robotic fabrication,Robotic rod-bending,Computational form-finding,Geometry optimization
Required Skills:
Intermediate Grasshopper, Intermediate Rhino
Required Software:
Rhinoceros, Grasshopper
Required Hardware:
Laptop
Maximum number of participating students:
12
Fabricating Complexity will introduce participants to the research carried out by EmTech on robotic fabrication and design. We are going to explore the themes of generative design, material computation, and robotic fabrication processes during this 5-day workshop. Our design brief is going to be geared towards the production of a three-dimensionally interwoven spatial enclosure. This task will be investigated through a combination of structural, morphological, and contextual factors which our design intervention will be expected to respond to differentiate its material and geometrical organization.
Computational generative form-finding methods will set the correlations between the digital process of design with the physical world of fabrication and materiality. Each session will be structured to present participants to some of the key computational techniques employed in generative form-finding, multi-objective optimisation, robotic tool-path planning, and material intelligence. Seminars on algorithmic workflows, with a particular emphasis on physics simulations and aggregation-based modelling processes, are going to introduce participants to the fundamental concepts of computational form-finding and simulation. Grasshopper and its various add-ons are going to be employed for the generation of advanced computational models with various levels of complexity. These models are going to be further developed into geometrical configurations, and they will be optimised via multi-objective optimisation for geometrical, physical, and spatial parameters. Robotic toolpaths for rod bending are going to be generated to design and optimise fabrication workflows.
Rod bending methods in traditional manufacturing industries are well-documented and established for their effectiveness and precision. This process sets up a set of constraints which have direct feedback on the computational form-finding process. Our workflows will explore the evaluation and interpretation of traditional fabrication processes towards their advancement within the domain of computational form-finding, analysis, and robotic tool path generation protocols.