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 China State Construction Reduced Rework by 18% Using AI-Powered Cameras and IoT Sensors
Construction
How DNAMIC Developed AI-Powered Wearable Devices for Cardiovascular Health Monitoring
Healthcare & Medical
How Built In Improved Win Rates and Deal Size by 10%+ Using Apollo’s Data Enrichment
Technology & SaaS
How a Retail Client Improved Customer Feedback Response Time and Satisfaction Using AI Analytics
Retail & E-commerce
How GetGenerative.ai Optimizes Task Assignment and Scheduling with AI-Driven Project Management
Technology & SaaS
How Rupp Pfalzgraf Increased Case Workload by 10% Using Lexis+ AI for Legal Research and Drafting
Legal