QUT ePrints

Framework for the long-term operation of a mobile robot via the Internet

Emami, Shervin, Wyeth, Gordon, Milford, Michael, & Prasser, David (2005) Framework for the long-term operation of a mobile robot via the Internet. In Sammut, Claude (Ed.) Proceedings of Australasian Conference on Robotics and Automation 2005, Australian Robotics and Automation Association Inc, Sydney, N.S.W.

View at publisher

Abstract

This paper describes an autonomous docking system and web interface that allows long-term unaided use of a sophisticated robot by untrained web users. These systems have been applied to the biologically inspired RatSLAM system as a foundation for testing both its long-term stability and its practicality. While docking and web interface systems already exist, this system allows for a significantly larger margin of error in docking accuracy due to the mechanical design, thereby increasing robustness against navigational errors. Also a standard vision sensor is used for both long-range and short-range docking, compared to the many systems that require both omni-directional cameras and high resolution Laser range finders for navigation. The web interface has been designed to accommodate the significant delays experienced on the Internet, and to facilitate the non- Cartesian operation of the RatSLAM system.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

35 since deposited on 23 Jun 2010
10 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 32837
Item Type: Conference Paper
Additional URLs:
ISBN: 0958758379
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Copyright Owner: Copyright 2005 [please consult the authors]
Deposited On: 23 Jun 2010 14:01
Last Modified: 01 Mar 2012 00:14

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page