Mobile robot navigation in indoor environments using object and character recognition

Masahiro Tomono, Shin'ich Yuta

Research output: Contribution to journalConference articlepeer-review

32 Citations (Scopus)

Abstract

Navigation in unknown environments requires the robot to obtain the destination positions without a map. The utilization of model-based object recognition would be a solution, where the robot can estimate the destination positions from geometric relationships between the recognized objects and the robot. This paper presents a robot system for this kind of navigation, in which the robot navigates itself to the room designated by room number. The robot has an environment model including a corridor and a door with a room number plate, and utilizes the model for the efficient recognition of the objects and the estimation of their positions.

Original languageEnglish
Pages (from-to)313-320
Number of pages8
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume1
Publication statusPublished - 2000 Dec 3
EventICRA 2000: IEEE International Conference on Robotics and Automation - San Francisco, CA, USA
Duration: 2000 Apr 242000 Apr 28

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Mobile robot navigation in indoor environments using object and character recognition'. Together they form a unique fingerprint.

Cite this