Human-Robot Interaction Design Based on Specific Person Finding and Localization of a Mobile Robot

Kai-Tai Song, Pei Chun Lu, Shao Huan Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose a novel human-robot interaction system to find a specific person in public for providing service. The system combines indoor localization, face recognition and robot navigation. The indoor localization uses deep neural network (DNN) and particle filtering to estimate the user position. A face recognition module provides the user identification to the robot. The robot first uses localization data to navigate to the vicinity of the user and then uses the face recognition to move to the front of the user to provide service. To verify the effectiveness of the design, we implemented the system to a mobile robot and integrated the application through a smart phone. The integrated experiments demonstrated that a user can call the robot to come to his/her front by using the proposed design. One also can order the robot via a smart phone to find a specific person and interact with him/her.

Original languageEnglish
Title of host publication2019 International Automatic Control Conference, CACS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138466
DOIs
StatePublished - Nov 2019
Event2019 International Automatic Control Conference, CACS 2019 - Keelung, Taiwan
Duration: 13 Nov 201916 Nov 2019

Publication series

Name2019 International Automatic Control Conference, CACS 2019

Conference

Conference2019 International Automatic Control Conference, CACS 2019
CountryTaiwan
CityKeelung
Period13/11/1916/11/19

Keywords

  • face recognition
  • human-robot interaction
  • indoor localization
  • mobile robot
  • motion planning

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