Industrial Robot

We apply industrial robots to high-risk, high-intensity sites to make your industrial sites safe and more productive. We provide robot automation services ranging from consulting, design, construction, and to operation for robot applications centered on software technology.

Robotic Automation Specialist

  • Design, build, and operate robotic automation systems tailored to customer needs through collaborations with robot manufacturers and process 3D design and simulation.
  • Expertise in control system and facility automation with experience in automating manufacturing plants and building smart factories.
  • Differentiated technology, such as a robot control platform. ACS: SW platform that can control heterogeneous logistics transfer robots.
  • Factory Automation (1980-)
    Factory Automation
    (1980-)
  • Smart Factory (Smartization, 2016-)
    Smart Factory
    (Smartization, 2016-)
  • Robotic Automation (unmanned, 2022-)
    Robotic Automation (unmanned, 2022-)

Robotic Automation Based on Standard Models and Methodologies

Standard Process Model

'Process-specific' standard model with robots → Faster expansion of the same process.

※ Automated 4-continuous casting based on STS steelmaking automation model

Standard Process Model
Standard Functional Model

"Function-specific" standard models of robotic tasks → Reusable in new robotics automation projects.

※ Reusing the molten steel sampling function in the blast furnace outlet molten iron sampling.

Standard Functional Model

Service Model

Service Areas

Manufacturing Robotic Automation

Creating safe work environments in high-risk, high-intensity industries and increasing productivity in manufacturing processes.

Building a standard model for robots in high-risk tasks
  • Robotic automation design based on 3D design, simulation, and OLP.
  • Analyze issues of current processes, identify improvements, design automation and minimize field work.

※ Ladle Man Deck robot automation, plating dross removal, band cutter automation, etc.

Increasing productivity for midsize manufacturers with smart factory business

Proposing proven robotic automation systems to existing smart factory customers.

Logistics Robot Automation

Automation of movement between warehouse and process in the manufacturing process of receiving → production/manufacturing → shipping

Manufacturing Logistics Engineering Process Manufacturing Logistics Engineering Process
Manufacturing logistics design based on the process of analysis → design/optimization → virtual commissioning

Rationalization of POSCO Future M's non-calcination plants and calcination plants.

Robot Manufacturing Logistics Design Robot Manufacturing Logistics Design
Field Application Field Application
Heterogeneous AGV/AMR integrated control system (ACS)
  • Integrated AGV Control System (ACS) for heterogeneous AGV control, compatible with parent systems (MES, WMS).
  • Standardizing adoption/operations with application of integrated ACS.

※ Automated conveying of cathode material, PFC, and electrical steel sheet HyperNo at POSCO Future M.

※ Plans routes for 100 vehicles per second and processes 200 events per second.

Differentiators

Designing robotic systems based on engineering skills
Differentiating design with 3D engineering technology
  • Analyzing issues in the as-is process and generating improvement ideas to design the to-be concept
  • Reducing project execution costs (trial and error) with 3D simulation validation
  • Validating investment feasibility (facility utilization, workforce reduction, etc.) and proposing systems
  • Assetizing technology and reusing it in other projects
  1. STEP 1 As-is Process Analysis
  2. STEP 2 3D Capture of Real Environment
  3. STEP 3 To-be Concept Design
  4. STEP 4 Simulation OLP
  5. STEP 5 Commissioning & Feasibility
ACS driven optimal operation of AGV/AMR
Data-driven formation control and optimized operation techniques
  • Standardizing interface and configuration as the steel mills and group companies expand AGV applications
  • Recognizing real-time vehicle congestion while driving to enable dynamic rerouting
  • Achieving the shortest travel time, not just distance
  • Recommending optimal AGV spec/number through preliminary analysis of volume, utilization, etc.
ACS (CMS/Status, AGV와 동일 I/F) > AGV/AMR , Simulator
  • Designing middleware to work with upstream and downstream systems
  • AI-powered optimal logistics scheduling
Categorizing suppliers by brand/characteristic/size and establishing a cooperation system