A significant strategy to reduce the demand for natural resources and the associated environmental impact is enhanced material efficiency in the design process for new building structures. Innovative concepts for designing, modelling, constructing, producing and utilising sustainable resource-efficient concrete-based building components will be the foundation for future- oriented constructions. For this reason, the ability to process biologically inspired 3D textile reinforcement structures is crucial to fully exploit the potential of carbon concrete. This research project provides a fundamentally realigned, CAE-supported approach so that optimization algorithms, numerical models for the generation of robot placement paths and bionically induced yarn positioning can be taken into account. The evolved intelligent and modular yarn placement system forms the basis to overcome current challenges involved in the placing and stabilizing of spatial and highly branched reinforcement topologies during the manufacturing process. Hence, the novel tool- independent, geometrically highly variable, robot-supported fibre placement technology is supposed to be capable of manufacturing biologically inspired load adapted 3D textile topologies with reinforcement in z-direction.