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Motion capture and AR based programming by demonstration for industrial robots using handheld teaching device.

Guoliang Liu1, Wenlei Sun2, Pinwen Li1

  • 1School of Mechanical Engineering, Xinjiang University, Urumqi, 830017, China.

Scientific Reports
|October 6, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an interactive Programming by Demonstration (PbD) system using augmented reality (AR) and motion capture for industrial robots. The system enables intuitive robot programming and skill transfer, benefiting both novice and expert operators.

Keywords:
ARMotion captureProgramming by demonstrationRobots

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Virtual Reality

Background:

  • Efficient programming is crucial for industrial robots.
  • Immersive simulation technologies offer new development avenues for industrial robotics.
  • Existing programming methods can be complex and time-consuming.

Purpose of the Study:

  • To present an interactive Programming by Demonstration (PbD) system for industrial robots.
  • To enable intuitive robot programming through augmented reality (AR) and motion capture.
  • To facilitate the transfer of skills from human operators to robots.

Main Methods:

  • Development of a system combining HTC VIVE laser scan motion capture and HoloLens augmented reality (AR).
  • Design of a portable Handheld Teaching Device (HTD) and its calibration algorithm.
  • Implementation of multi-system registration for accurate spatial relationship determination and a path planning algorithm for code conversion.

Main Results:

  • The HTD, tracked by laser motion capture, acts as an AR robot end-effector for path teaching.
  • Real-time AR simulation of the robot during programming is achieved.
  • The system accurately reproduces operator actions in the same spatial position, simplifying complex programming tasks.

Conclusions:

  • The developed AR-based PbD system offers an efficient and user-friendly method for industrial robot programming.
  • The system lowers the barrier for unskilled operators while enabling rapid skill acquisition for expert workers.
  • This approach enhances the flexibility and accessibility of industrial robot programming.