This presentation outlines a robotic spatial measurement and monitoring approach that links digital design information with field implementation, visual guidance, surveying, and repeated observation of change over time. The system combines optical sensing, robotic positioning, spatial referencing, remote operation, photogrammetry, and AI-assisted interpretation to support design-to-field workflows, project monitoring, mapping, structural monitoring, and quality verification within a unified measurement framework. The work is relevant to construction, engineering, and asset inspection where high precision, repeatability, safety, and non-contact operation are important. Its novelty lies in bringing photogrammetric measurement and AI-assisted analysis into surveying workflows that have traditionally relied on in-person and largely manual methods, while integrating visual guidance, remote operation, and monitoring into a connected process. This creates a basis for safer and more consistent field operations, and for more direct comparison between design intent, measured state, and observed change.