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Programming Robots by Demonstration Using Augmented Reality.

Inês Soares1,2, Marcelo Petry2, António Paulo Moreira1,2

  • 1Department of Electrical and Computer Engineering, Faculdade de Engenharia da Universidade do Porto, FEUP, 4200-465 Porto, Portugal.

Sensors (Basel, Switzerland)
|September 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an Augmented Reality (AR) system enabling industrial operators to program robots without coding. The human-robot interaction system allows intuitive robot control for complex manufacturing tasks.

Keywords:
augmented realitycollaborative robotsindustrial robotsprogramming by demonstration

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Area of Science:

  • Industrial Automation
  • Human-Robot Interaction
  • Augmented Reality

Background:

  • The Fourth Industrial Revolution emphasizes intelligent automation in manufacturing.
  • Full automation is not feasible for all tasks; human-robot collaboration is essential.
  • Human-machine interaction systems offer a solution for collaborative manufacturing environments.

Purpose of the Study:

  • To develop an industrial prototype for human-machine interaction using Augmented Reality (AR).
  • To enable industrial operators without programming experience to program robots.
  • To explore applications and challenges in human-robot collaboration.

Main Methods:

  • Development of a two-part system: a tracking system for hand movement and a translator system for robot programming.
  • Utilizing Augmented Reality (AR) for intuitive operator interaction.
  • Demonstration through user-drawn geometric figures for robot path replication.

Main Results:

  • The developed AR system successfully enabled an untrained operator to program a robot.
  • The robot accurately replicated the operator's hand movements and programmed paths.
  • The system demonstrated the feasibility of intuitive robot programming for industrial tasks.

Conclusions:

  • Augmented Reality (AR) provides an effective interface for human-robot collaboration in industrial settings.
  • The developed system empowers operators to program robots without prior coding knowledge.
  • This approach enhances manufacturing flexibility and efficiency by integrating human expertise with robotic capabilities.