Environmental recognition for autonomous robot using Simultaneous Localization and Map Building (SLAM) (real time path planning with dynamical localized voronoi diyision)

Satoshi Takezawa, Tauseef Gulrez, Damith C. Herath, Gamini Dissanayake

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The Goal of this work is to provide a more in depth understanding of the navigation in the autonomous robot using stable visual points derived from the repeated experimentation by the stereo vision in a natural featured environment. In order to identify the position of the robot as well as to establish the 3 D obstacle map under the unknown environment, we discuss the simultaneous stereo type localization and map building (SLAM) problem. The design of the planning algorithm for a vision guided mobile robot depends upon the two main characteristics of visual environmental recognition i.e. Uncertainty and Efficiency. The uncertainty is reduced by the Extended Kalman Filter algorithm based on the process and observation model of the mobile robot. Regarding the efficiency, the optimal path planning algorithm which uses the dynamical localized Voronoi division is a new concept in our proposal. This method has the ability to make the path for mobile robot with only suitable number of natural features.

Original languageEnglish
Pages (from-to)904-911
Number of pages8
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume71
Issue number3
Publication statusPublished - Mar 2005
Externally publishedYes

Fingerprint Dive into the research topics of 'Environmental recognition for autonomous robot using Simultaneous Localization and Map Building (SLAM) (real time path planning with dynamical localized voronoi diyision)'. Together they form a unique fingerprint.

  • Cite this