A fitness-sharing based genetic algorithm for collaborative Multi Robot Localization

No abstract is available for this paper.

• Publication year

  2009

• Venue

  2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

• Publication date

  2009-10-10

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/IROS.2009.5354581
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2003cited by this paper
• Adapting the Sample Size in Particle Filters Through KLD-Sampling

  2003influential reference
• Multi-robot cooperative localization: a study of trade-offs between efficiency and accuracy

  2002cited by this paper
• Localization for Mobile Robot Teams: A Distributed MLE Approach

  2002cited by this paper
• Distributed multirobot localization

  2002cited by this paper
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  2000cited by this paper
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  2000cited by this paper
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  1997cited by this paper
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  1997cited by this paper
• Niching methods for genetic algorithms

  1996cited by this paper
• Cooperative Mobile Robotics: Antecedents and Directions

  1995cited by this paper
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  1995cited by this paper
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  1994cited by this paper
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  1992cited by this paper
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  1988cited by this paper

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