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Floor sensing system using laser reflectivity for localizing everyday objects and robot.

Yoonseok Pyo1, Tsutomu Hasegawa2, Tokuo Tsuji3

  • 1Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka-shi, Fukuoka 819-0395, Japan. pyo@irvs.ait.kyushu-u.ac.jp.

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Summary
This summary is machine-generated.

This study introduces a novel method for robots to map their surroundings using a single laser range finder and a mirror. This technique enhances object recognition and robot localization in homes, improving service robot functionality.

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Area of Science:

  • Robotics
  • Computer Vision
  • Sensor Fusion

Background:

  • Service robots require accurate environmental perception for navigation and interaction in human-centric spaces.
  • Existing methods for robot localization and object detection can be complex and privacy-invasive.

Purpose of the Study:

  • To develop an efficient and privacy-preserving method for measuring object and robot positions on a floor.
  • To enhance the environmental mapping capabilities of service robots in domestic settings.

Main Methods:

  • Utilizing a single laser range finder (LRF) with a wall-mounted mirror to scan the environment.
  • Employing distance and reflectance data from the LRF, focusing on a plane parallel to the floor.
  • Developing a tag-based system for precise robot pose measurement using encoded reflection patterns.

Main Results:

  • The proposed method effectively measures object and robot positions with minimal privacy intrusion.
  • The use of a mirror mitigates occlusion problems, providing comprehensive room coverage.
  • Experimental validation confirms the effectiveness of the LRF-based mapping and robot localization technique.

Conclusions:

  • The integrated approach of LRF sensing, mirror reflection, and tag-based localization offers a robust solution for service robot navigation.
  • This method improves the ability of robots to identify and interact with objects in everyday environments.
  • The system demonstrates significant potential for enhancing the autonomy and utility of domestic service robots.