Advanced Construction Robotics
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
Who is it good for?
- Construction Site Supervisors
- Construction Project Managers
- Bridge Builders
- Rebar Installation Crews
- Construction Safety Managers
Details & Features
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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.
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Supported ecosystemsUnknown
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What does it do?Rebar Tying, Rebar Placement, Construction Automation, Construction Productivity, Construction Safety
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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