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Research

Areas
Achievements

Intelligent Control Research Division

The Intelligent Control Research Division integrates advanced IT, robotics, and AI technologies into construction equipment, driving the evolution of conventional machinery toward greater intelligence and automation.

Through the development of innovative construction robots tailored for on-site needs, we aim to enhance productivity and safety, contributing to the advancement of the construction machinery industry.

Research Areas

Productivity Enhancement Technologies

  • Developing intelligent technologies for standalone construction equipment to significantly enhance individual machine productivity
  • Integrating robotics (RT) and information technology (IT) into traditional construction machinery to dramatically improve construction productivity and safety through smart construction technology
  • Developing field robots and components to strengthen competitive advantages in production processes

Safety Enhancement Technologies

  • Developing active safety systems to prevent worker accidents and ensure safe work environments by leveraging sensor fusion and intelligent control technologies
  • Developing real-time remote control and management technologies through equipment status monitoring
  • Developing Big Data-driven technologies to predict key component failures and estimate lifespan
주요성과1

Development of Reinforcement Inspection and Bonding Automation System to Ensure Safety of Concrete Structures

주요성과2

Development of Autonomous Dump Trucks and System for Large-scale Earth-moving Automation

주요성과3

Development of AI learning platform for intelligent excavators based on expert work data

주요성과4

Development of Dry ice Cleaning and Trenchless Renovation Equipment for large scale water pipe

주요성과5

Development of AI-based Concrete Slab Finishing Automation System

주요성과6

Development of Autonomous Wheel Loader and System Technology for Earth-moving Automation and Dumper Co-operation

Key Achievement 7

Machine Automation for Road Construction

Key Achievement 8

Development of On-site demonstration technology for Spreading automated excavators

Key Achievement 9

Development of communication system and automatic control system for construction equipments to prevent accidents in underground burials such as gas pipes

주요성과10

Advanced performance of self-propelled onion harvester capable of simultaneously digging and collecting

주요성과11

A condition diagnosis model's development service for hybrid excavator's boom regeneration system with deep learning

주요성과12

Technical development of the column integrated hydrostatic power steering unit with position control functioning elements

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