×

What does it do?

  • Rebar Tying
  • Rebar Placement
  • Construction Automation
  • Construction Productivity
  • Construction Safety

How is it used?

  • Deploy robots on-site
  • automate rebar tying and placement.
  • 1. Integrate robots
  • 2. Operate w/ ease
  • 3. AI algorithms
See more

Who is it good for?

  • Construction Site Supervisors
  • Construction Project Managers
  • Bridge Builders
  • Rebar Installation Crews
  • Construction Safety Managers
See more

Details & Features

  • Made By

    Advanced Construction Robotics
  • Released On

    2016-10-24

Advanced Construction Robotics (ACR) develops robotic solutions for the construction industry, focusing on automating rebar installation processes. Their robots, TyBot and IronBot, are designed to enhance efficiency, productivity, and safety on construction sites by performing tasks traditionally done manually.

Key features:
- Autonomous Rebar Tying: TyBot can tie over 1,200 rebar intersections per hour without pre-mapping, programming, or calibration.
- Self-Locating and Positioning: TyBot can autonomously locate and position itself for tying tasks.
- Rebar Handling and Placement: IronBot autonomously manages transverse and longitudinal rebar bundles.
- Labor Augmentation: Robots supplement existing crews, addressing labor shortages.
- Safety Enhancement: Automation of injury-prone tasks reduces risk to human workers.
- Weather-Resistant Operation: Robots can operate in various environmental conditions, mitigating schedule risks.

How it works:
1. Robots are integrated into existing construction workflows.
2. Minimal setup is required for quick deployment.
3. Robots operate autonomously, performing rebar tying and placement tasks.
4. Human workers can focus on other critical tasks while robots handle repetitive work.

Use of AI:
ACR's robots utilize machine learning algorithms and sensor technologies for autonomous navigation, material identification, and interaction within construction environments.

AI foundation model:
The robots employ sophisticated AI models, likely including neural networks and reinforcement learning, to perform complex tasks with high precision.

Target users:
- Construction companies facing labor shortages
- Firms undertaking large-scale projects with tight schedules
- Industries aiming to reduce injury risk and improve overall safety

How to access:
ACR's technology is primarily accessed through direct integration of the robots into construction projects. Operational interfaces on the robots are likely the primary means of interaction.

Application Examples:
ACR's robots have been successfully deployed in projects such as the I-39 Bridge and the Burleigh Street Bridge, demonstrating significant reductions in time and labor required for rebar installation.

  • Supported ecosystems
    Unknown
  • What does it do?
    Rebar Tying, Rebar Placement, Construction Automation, Construction Productivity, Construction Safety
  • Who is it good for?
    Construction Site Supervisors, Construction Project Managers, Bridge Builders, Rebar Installation Crews, Construction Safety Managers, Construction Automation Specialists, Bridge Construction Companies, Commercial Construction Firms

Alternatives

Agility Robotics creates humanoid robots for mobile manipulation tasks in various industries.
Autonomous floor scrubbing robots for commercial facilities to boost cleanliness and reduce labor costs
Ambi Robotics develops AI-powered robots for efficient parcel sorting in logistics operations.
DailyBot automates team workflows and generates AI reports to enhance visibility in remote work environments.
Automate enterprise processes with generative AI to boost productivity across industries
Baubot develops mobile robots for construction sites to automate tasks and improve efficiency.
Dexterity develops robots that automate warehouse tasks like palletizing and truck loading
Automate egg preparation in commercial kitchens with a robotic appliance that cracks and cooks
Automate Excel and Google Sheets tasks with AI-powered formulas, scripts, and data analysis
Microsoft Copilot assists users with tasks through natural language, from music creation to travel planning.