An Intelligent Household Robot with Autonomous Navigation and Objects Classification

Bingjie Xu, Yangzesheng Lu, Jingxiang Wang, Qinglei Bu, Quan Zhang, Jie Sun*

*Corresponding author for this work

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

Abstract

With the continuous advancement of technology, the development of robots is expected to meet the demands for personalization, intelligence, affordability, and reliability. Among different types of robots, intelligent robots have become an indispensable part of daily life. To expand the functionality and improve accessibility, this paper proposed an intelligent robot for households to serve as a family organizer, companion, and supervisor. This robot’s automation characteristics enable it to independently realize functions such as storage management, early-stage warning systems, and interactive entertainment. A flexible gripper is designed to reduce potential danger in the grasping process. Based on the Lidar, odometer, and depth camera, this robot can achieve autonomous navigation, object recognition, and classification through Cartographer and YOLO algorithms.

Original languageEnglish
Title of host publicationRobot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
EditorsAnwar P.P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages302-311
Number of pages10
ISBN (Print)9783031706837
DOIs
Publication statusPublished - 2024
Event11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 - Taicang, China
Duration: 6 Dec 20238 Dec 2023

Publication series

NameLecture Notes in Networks and Systems
Volume1132 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Country/TerritoryChina
CityTaicang
Period6/12/238/12/23

Keywords

  • Depth camera
  • Object detection
  • ROS2

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