As additive manufacturing becomes more integrated into construction workflows, new demands are emerging for digital monitoring, quality control, and process control across the entire production chain. Rather than relying on conventional end‐of‐process inspection, this contribution presents a new, structured view of quality control for additive manufacturing in construction. The approach integrates sensing, geometric assessment, and robotic control throughout production and assembly. Four stages are distinguished: online, layer‐wise, pre‐assembly, and assembly. The combination of sensor systems, geometric processing, and control strategies across these stages enables early error detection, direct process feedback, and improved reliability in robotic construction. Particular attention is given to on‐site assembly scenarios, where localization and registration to BIM/FIM are required to verify placement, alignment, and integration in digitally coordinated, multi‐robot environments. The paper also addresses emerging challenges for mobile and in‐situ fabrication, including print‐while‐drive operation and quality control under dynamic, moving‐platform conditions. Consequently, digital monitoring and control are core components of scalable additive construction, not auxiliary functions.
Gerke et al. (Mon,) studied this question.