Using PSOMs to learn inverse kinematics through virtual decomposition of the robot

Lecture Notes in Computer Science

Volumn 3512, Issue , 2005, Pages 701-708

  De Angulo, Vicente Ruiz ^a   Torras, Carme ^a  

^a INSTITUT DE ROBÒTICA I INFORMÀTICA INDUSTRIAL CSIC UPC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DESIGN; MANIPULATORS; ROBOTS;

PARAMETERIZED SELF-ORGNAIZED MAPS (PSOM); ROBOT ARCHITECTURE; ROBOT MANIPULATORS;

KINEMATICS;

EID: 25144467409     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_86     Document Type: Conference Paper

References (10)

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3. T.M. Martinetz, H.J. Ritter and K.J. Schulten: Three-dimensional neural net for learning visuomotor coordination of a robot arm. IEEE Trans. on Neural Networks 1 (1990) 131-136
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5. V. Ruiz de Angulo and Torras C.: Self-calibration of a space robot. IEEE Trans. on Neural Networks (1997) 8 951-963
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7. V. Ruiz de Angulo and C. Torras: Speeding up the learning of robot kinematics through function decomposition. IEEE Trans. on Neural Networks (to appear)
8. D. Saune Sánchez: Recalibración de un brazo robot mediante técnicas de descomposición de la cinemática. Proyecto final de carrera, Departament LSI, Universität Politécnica de Catalunya (2003)
9. J. Walter and H. Ritter: Rapid learning with parametrized self-organizing maps. Neurocomputing (1996) 12 131-153
10. J. Walter and K.J. Schulten: Implementation of self-organizing neural networks for visuo-motor control of an industrial arm. IEEE Trans. on Neural Networks (1993) 4