Quick Overview
Skanska’s Project HALO deploys AI-powered robots for tasks such as bricklaying and concrete pouring, increasing speed and precision while reducing risk to human workers. The project integrates robotics, automation, and computer vision to improve construction safety and efficiency.
Skanska
Company Size
~30,000 employees
Revenue Range
$20B+ annual revenue
Primary Challenge
Automating hazardous, repetitive construction tasks to improve safety and productivity
Key Metrics
\- Reduced project timelines and costs\- Improved task precision\- Enhanced worker safety
The Problem
Manual labor-intensive tasks are time-consuming, risky, and prone to inconsistencies
The Solution
Developed AI-powered robotic systems that perform bricklaying and concrete pouring with high accuracy and speed
Results
\- Shortened construction schedules\- Lowered labor costs and injuries\- Improved quality and consistency
Details
Industry
Construction
Departments
Operations & Workflow Automation
Use Cases
Workflow Automation
Tags
Computer Vision
Autonomous Agent
Time-Saving
Cost Reduction
AI Tools Used
No items found.
Sources
https://www.re-thinkingthefuture.com/architectural-community/a11224-case-studies-of-projects-designed-using-ai-generated-solutions/
More Case Studies
See All
How TLG Marketing Uses AI-Driven Analytics to Enhance Customer Feedback Response and Satisfaction in Retail
Marketing & Advertising
How Kredito Uses AI-Based Risk Assessment to Improve Payment Behavior Prediction and Accelerate Working Capital Access
Finance & Banking
How a Global Software Project Used an AI Chatbot to Improve Communication and Accelerate Delivery
Technology & SaaS
How Nike and AKQA Used AI and Machine Learning to Simulate a Virtual Tennis Match Between Serena Williams’ Past and Present Selves
Retail & E-commerce
How Knock Uses AI to Streamline Home Trade-In Process and Improve Match Rates
Real Estate
How JIFFY.ai Delivered 85% Straight-Through Invoice Processing for a Large Automobile Manufacturer
Manufacturing