TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Self-enhancing robot localization via local memory tags
 
Options

Self-enhancing robot localization via local memory tags

Publikationstyp
Conference Paper
Date Issued
2011
Sprache
English
Author(s)
Hackbarth, Felix  
Institut
Automatisierungstechnik E-1(H)  
TORE-URI
http://hdl.handle.net/11420/12172
Start Page
395
End Page
400
Article Number
6144916
Citation
ICARA 2011 - Proceedings of the 5th International Conference on Automation, Robotics and Applications : Wellington, New Zealand, 6 - 8 December 2011. - Piscataway, NJ, 2011. - (): art. no. 6144916 395-400 (2011)
Contribution to Conference
5th International Conference on Automation, Robotics and Applications, ICARA 2011  
Publisher DOI
10.1109/ICARA.2011.6144916
Scopus ID
2-s2.0-84857402166
Publisher
IEEE
ISBN of container
978-1-4577-0328-7
This paper presents experimental results on localization of indoor mobile robots with limited sensor capabilities. With probabilistic global occupancy knowledge of the environment the robot is able to locate itself near obstacles. Far from obstacles the estimate gets inaccurate due to slippage. To increase the accuracy of the estimation in these regions we suggest integrating local memory tags without initial knowledge on their position. The memory tags could also be RFID tags or fixed sensor nodes of a stationary sensor network. These local storages are used to save a processed actual estimate of the robot when it is within communication range. Hence the tags passively get an estimate of their own position which in turn is used by passing robots. Experiments show that even without initial position information for robot and local memory tags and despite vague and partially erroneous information of the robot, the position information of the tags converges towards a good stationary value and thus enhancing robot positioning.
Subjects
localization
memory tag
position probability grids
positioning
RFID tag
self-optimization
DDC Class
600: Technik
620: Ingenieurwissenschaften
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback