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Related Experiment Video

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Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments.

Igor Rodriguez1, Unai Zabala1, Pedro A Marín-Reyes2

  • 1Faculty of Informatics, University of Basque Country (UPV/EHU), 20018 Donostia, Spain.

Sensors (Basel, Switzerland)
|May 1, 2020
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Summary

GidaBot uses a novel fused face recognition system to identify visitors, enhancing robot tour guide reliability. This system prevents interference by unknown individuals during guided tours in multi-floor buildings.

Keywords:
distributed robotic systemface re-identificationneural networkssocial service robots

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Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • GidaBot facilitates multi-robot guided tours in multi-floor buildings, requiring seamless collaboration.
  • Ensuring visitor privacy and preventing interference from unknown individuals is crucial for personalized tours.

Purpose of the Study:

  • To develop and integrate a robust face re-identification and verification module into GidaBot.
  • To enhance the reliability and security of GidaBot's guided tour services by accurately identifying visitors.

Main Methods:

  • Offline evaluation of state-of-the-art face detectors and embedding-based distance metrics.
  • Online implementation using a parallel fusion of multiple face detectors to mitigate alignment bias.
  • Decision-making based on a minimum distance criterion in face embedding space.

Main Results:

  • The fused face detection approach significantly outperforms individual methods.
  • The integrated face re-identification module demonstrably improves the real-time reliability of GidaBot.
  • Successful deployment and testing of the system with real robots at the Faculty of Informatics.

Conclusions:

  • A fused face recognition system effectively addresses challenges in identifying casual visitors for robotic tour guides.
  • The developed module enhances GidaBot's operational security and user experience by managing visitor interactions.
  • This research advances the practical application of computer vision in heterogeneous robotic systems.