A YOLOv7-Based Method for Detecting Buttons in Service Robots during Autonomous Elevator-Taking Tasks

Ming Hsin Chen, Wei Hsiang Huang, Tzuu Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel visual algorithm based on YOLOv7, designed to enhance the robustness of automated elevator-taking service robots in detecting elevator buttons. Traditional solutions for elevator interaction, such as image processing methods, feature selection, or wireless communication protocols, have inherent limitations related to communication security issues and additional equipment costs. In order to overcome these challenges, our method leverages a physical robotic arm and the YOLOv7 object detection neural network to improve the accuracy of elevator button detection and enable effective robot-elevator interaction. To identify elevator buttons, we employ single-stage object detection algorithms along with multiple cameras to capture comprehensive environmental information during experimental trials. By utilizing these techniques, our proposed method ensures the safety and reliability of the automated elevator-taking process for service robots. Experimental results demonstrate the effectiveness of our algorithm in accurately detecting elevator buttons across various testing scenarios. Overall, our method offers a more suitable solution for service robots to autonomously navigate elevators and perform their intended tasks.

Original languageEnglish
Title of host publication2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350302714
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023 - Taipei, Taiwan
Duration: 2023 Aug 302023 Sept 1

Publication series

NameInternational Conference on Advanced Robotics and Intelligent Systems, ARIS
Volume2023-August
ISSN (Print)2374-3255
ISSN (Electronic)2572-6919

Conference

Conference2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023
Country/TerritoryTaiwan
CityTaipei
Period23-08-3023-09-01

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Artificial Intelligence

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