Learning Bayesian network structure from environment and sensor planning for mobile robot localization

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Volumn 2003-January, Issue , 2003, Pages 76-81

  Zhou, H ^a   Sakane, S ^a  

^a CHUO UNIVERSITY   (Japan)

Author keywords

Bayesian methods; Cost function; Decision trees; Genetic algorithms; Inference algorithms; Mobile robots; Navigation; Robot sensing systems; Robustness; Uncertainty

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; COST FUNCTIONS; DECISION TREES; ECONOMIC AND SOCIAL EFFECTS; GENETIC ALGORITHMS; INFERENCE ENGINES; INTELLIGENT SYSTEMS; MOBILE ROBOTS; NAVIGATION; OBJECT RECOGNITION; ROBOT APPLICATIONS; ROBOT PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS);

BAYESIAN METHODS; GA (GENETIC ALGORITHM); GLOBAL LOCALIZATION; INFERENCE ALGORITHM; LEARNING BAYESIAN NETWORKS; MOBILE ROBOT LOCALIZATION; ROBOT SENSING SYSTEM; UNCERTAINTY;

ROBOTS;

EID: 42549091081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MFI-2003.2003.1232636     Document Type: Conference Paper

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