ART FCMAC: A memory efficient neural network for robotic pose estimation

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn 1, Issue , 2003, Pages 418-423

  Langley, C S ^a   D'Eleuterio, G M T ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTS COMPUTING; AUTOMATION; COMPUTATION THEORY; COMPUTER VISION; DEGREES OF FREEDOM (MECHANICS); PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; VIRTUAL REALITY;

ADAPTIVE RESONANCE THEORY NETWORKS; CEREBELLAR MODEL ARITHMETIC COMPUTERS; MEMORY EFFICIENT; MULTIPLE INPUT SINGLE OUTPUTS; POSE ESTIMATION; PRINCIPLE COMPONENT ANALYSIS; REDUCTION OF ERRORS; THREE-DEGREE-OF-FREEDOM (3-DOF);

ROBOTICS;

EID: 26444554241     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2003.1222126     Document Type: Conference Paper

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