MYRO Tested at Sobha The Crest Construction Site
At Sobha The Crest in Dubai, MYRO was tested on-site to showcase its efficiency. With fast setup, 90 sqm/h productivity, and reduced paint use, the robot proved its potential to outperform manual painting in speed, quality, and material savings.
MYRO was deployed at Sobha The Crest in Dubai for a pilot aimed at testing the robot’s performance in a live construction environment. Organised in partnership with Sobha, the deployment focused on validating MYRO’s operational capabilities under real-world site conditions, with particular attention to paint consumption efficiency and productivity.
The demonstration spanned 170 square meters and was conducted to compare robotic painting versus traditional manual methods. MYRO delivered an average productivity rate of 90 sqm/h with a top speed of 170 sqft/h, while consuming just 12 sqm/L of paint-metrics that reinforced its efficiency and material optimisation.
Rapid Deployment and Scalable Site Efficiency with MYRO
- Setup completed in just 15 minutes
- Showcased the ease of deployment in active construction sites
- Delivered consistent high-quality paint finishes
- Proved potential to enhance performance at scale across projects
This test not only highlighted the robot’s technical strengths but also underscored broader benefits for project teams. By automating labour-intensive and repetitive painting tasks, MYRO helped demonstrate how robotics can minimise fatigue-related errors, ensure uniform application, and reduce dependency on manual labour-all key advantages in large-scale developments like Sobha The Crest.
The collaboration with Sobha was a strategic step for MYRO, offering the opportunity to integrate with one of the UAE’s leading real estate developers and gain insights into how automation could align with their project workflows.
As construction firms across the region seek to digitise and automate operations, the Sobha deployment validated MYRO’s readiness for larger-scale adoption in high-demand, high-spec environments. It wasn’t just a test-it was a performance benchmark for what robotic precision looks like on-site.
