The advent of artificial intelligence and robotics in the era of ubiquitous computation also influences the disciplines of architecture, engineering, construction, and operation (AECO) as a part of revolutionizing Industry 4.0, which leads to Industry 5.0. The newly developed intelligent methods of assembly, robotic production, and advanced digital fabrication techniques require serious attention from architects and designers, even in the early design stages. The digital production process affects the product's design itself. The course Design-to-Production – Robotic Assemblies will deliver novel and unconventional learning content concerning the context of Design for Manufacture and Assembly and Disassembly methods of production (DfMA) on how the designers can employ creativity, intelligence, and skills in design and production processes with the support of design computation, artificial intelligence, and robotics into one coherent design and production workflow.

The current experimental architectural and design practice is driven by two key themes: parametric modeling strategies generating curvilinear spatial arrangements, often utilizing parametric modeling tools with BIM (top-down parametric design), and the paradigm of nature-related integrated complex systems, incorporating the notion of biological, morphogenetic, and behavioral processes observed in environments translated into architectural forms, spaces generation and pattern creation (non-linear bottom-up strategies), following those principles of complex systems at the abstracted level and considering environmental impact. The idea behind Future Human Habitats and its definition will embrace and enhance those strategies of non-linear behaviors of components to approach the spatial arrangements for humans (and not only humans) from the contemporary scientific understanding of processes underlying natural and artificial systems of growth, pattern-formation, and rules of the organization. Architects of the future, exploring architectural design and participating in a broader understanding of future built environments for humans, need to gain new knowledge and understanding of architecture from the perspective of various algorithmic processes, data-driven methods of design generation, and interdependencies of components and behaviors.