McLaren Construction will deploy FieldAI autonomous quadruped robots on UK sites to run regular 360° scans, generate point clouds and carry out progress verification, model-to-site deviation checks, safety patrols and quality assurance. FieldAI’s “Field Foundation Models” combine data-driven AI, physics-based reasoning and uncertainty quantification, allowing robots to navigate stairs, doors and changing site layouts without prior maps, fixed routes or supporting infrastructure. Automated deviation analysis between scans and design models is expected to tighten tolerance control, catch installation errors earlier and cut rework, while meeting UK regulatory and data security requirements.

Seequent’s OpenGround Civil 3D Extension links live geotechnical data from OpenGround into Autodesk Civil 3D, allowing borehole logs, interpreted strata and lab test results to update directly within corridor, grading and earthworks models. Designers can generate 3D ground models, cross-sections and surfaces that automatically reflect new investigations, rather than relying on static AGS or CSV imports. The workflow reduces manual rework and helps geotechnical and civil teams keep alignments, cut/fill volumes and foundation layouts consistent with the latest ground model.

Scripting in RS3 now lets tunnel designers automatically extract lining forces, moments, and displacements at every section along a 3D model, instead of manually interrogating individual cross-sections. Users can generate full lining design envelopes, export results to spreadsheets or custom reports, and rapidly iterate on reinforcement or segment thickness without re-running the finite element analysis. For geotechnical teams, this shifts effort from repetitive post-processing to checking design assumptions, load cases, and ground–structure interaction behaviour across the entire tunnel.