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This study introduces a low-cost, cross-platform SCARA robot digital-twin simulation system. This system simplifies robot algorithm development and testing by enabling accurate virtual-to-physical model synchronization.

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Area of Science:

  • Robotics
  • Digital Twin Technology
  • Simulation Systems

Background:

  • High costs and complexity of physical robot algorithm testing.
  • Limitations in fault tolerance and development efficiency for traditional robot control programs.

Purpose of the Study:

  • To propose a low-cost, cross-platform SCARA robot digital-twin simulation system.
  • To reduce the development cost of robot control algorithms.
  • To enhance the accuracy and efficiency of robot algorithm testing.

Main Methods:

  • Development of a 5D architecture tailored for different platforms.
  • Implementation of a data-processing layer for motion trajectory calculation and storage.
  • Construction of an editable, modular, cross-platform communication system for simplified command invocation.

Main Results:

  • Accurate data communication and synchronous motion between virtual and physical SCARA robot models.
  • Significant reduction in the development cost of control algorithms.
  • Successful application of virtual simulation-tested algorithms to physical robot platforms with accurate reproduction of results.

Conclusions:

  • The proposed digital-twin simulation system effectively reduces costs and complexity in robot development.
  • The system provides a reliable virtual environment for testing robot algorithms before physical deployment.
  • Modular communication control enables precise synchronization and efficient algorithm validation for SCARA robots.