Towards a line-crawling robot obstacle classification system: A rough set approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2639, Issue , 2003, Pages 303-307

  Peters, James F ^a   Ramanna, Sheela ^a   Szczuka, Marcin S ^b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b UNIVERSITY OF WARSAW   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA MINING; FUZZY SETS; GRANULAR COMPUTING; LEARNING SYSTEMS; MACHINE DESIGN; PROXIMITY SENSORS; ROBOTS; COLLISION AVOIDANCE; DATA REDUCTION; KNOWLEDGE ACQUISITION; ROUGH SET THEORY;

CLASSIFICATION LEARNING; CLASSIFICATION METHODS; CRAWLING ROBOTS; DATA MINING METHODS; DATA SET; KNOWLEDGE ANALYSIS; OBSTACLE CLASSIFICATION; ROUGH SET CLASSIFICATION;

ROUGH SET THEORY; MOBILE ROBOTS;

DATA MINING METHODS; ROBOT OBSTACLE CLASSIFICATION SYSTEMS;

EID: 8344230734     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_44     Document Type: Conference Paper

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