McLaren Construction and FieldAI have partnered to bring general-purpose autonomous robots to UK construction sites
As part of the partnership, McLaren will deploy autonomous quadruped robots, initially to capture 360° site imagery, generate point cloud data and support progress verification, model-to-site deviation analysis, safety compliance patrols and quality assurance.
This range of tasks will grow significantly over time and add value to the on-site robots with every new capability.
McLaren Construction’s group pre-construction director, Adam Nicholson, explained: “The significance of this deployment for the construction industry is that we can move beyond machines that are remote-controlled or pre-programmed for a limited range of tasks and routes.
“Instead, we now have autonomous robots navigating stairs, doors and other obstacles and constantly working with our human teams to support productivity, safety and quality.”
UK regulatory and data security requirements will be met
The partnership marks FieldAI’s entry into the UK market and extends its construction deployments.
The two companies will work together to meet UK regulatory and data security requirements as deployments scale up.
AI-enabled analysis sits at the core of the autonomous robots
Regular automated scans by FieldAI robots will create a visual and spatial record of work as it is installed. AI-enabled deviation analysis will compare site data against the design model, reducing the time between installation and identification of on-site quality issues.
This capability will support proper installation at the point of delivery, ensuring true quality control, tolerance management, and reduced rework.
At the core of the deployment are FieldAI’s Field Foundation Models, which combine data-driven AI with physics-based reasoning and uncertainty quantification to unlock environments that are otherwise too complex and unpredictable for robots.
One universal “brain” enables autonomous robots of all shapes and sizes to perform a widening range of tasks in unstructured environments they have never seen before.
Informing the wider deployment of robotics in construction
It’s expected that the partnership will deliver more reliable project monitoring, earlier identification of installation issues and a stronger evidence base for compliance and quality assurance.
Over time, the collaboration will also provide practical lessons that can inform wider deployment of robotics within the business.
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