Information visualization in intelligent navigation for multiple mobile robots

Naoyuki Kubota, Yuichiro Toda

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

3 Citations (Scopus)

Abstract

Recently, multiple mobile robots have been used for exploration and remote monitoring in unknown areas. The required functions for human-friendly remote monitoring and control are (1) Extraction of human intention, (2) Semi-autonomous tele-operation, (3) Multi-robot formation behaviors, (4) Sensor fusion for information extraction, (5) Perception of situation, (6) Decision support based on information visualization and (7) Extraction of human interest. We proposed an intelligent navigation system for human-friendly remote monitoring and control. The intelligent navigation system for multiple mobile robots is composed of simultaneous localization and mapping (SLAM), intelligent path planning based on multi-resolution map, 3D information visualization system, and human navigation system based on touch interface. In this chapter, we focus on the information visualization and map building for remote monitoring and control of multiple mobile robots, and show several experimental results of the proposed methods.

Original languageEnglish
Title of host publicationSimulation and Modeling Related to Computational Science and Robotics Technology. Proceedings of SiMCRT 2011
EditorsFumio Kojima, Futoshi Kobayashi, Hiroyuki Nakamoto
Pages120-139
Number of pages20
DOIs
Publication statusPublished - Dec 1 2012
Externally publishedYes

Publication series

NameStudies in Applied Electromagnetics and Mechanics
Volume37
ISSN (Print)1383-7281
ISSN (Electronic)1879-8322

Keywords

  • Information Visualization
  • Intelligent Navigation
  • Multi-robot Systems
  • Simultaneous localization and Mapping

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering

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