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Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots.

, and . IEEE Trans. Syst. Man Cybern. Part B, 38 (6): 1571-1577 (2008)

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Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots., and . IEEE Trans. Syst. Man Cybern. Part B, 38 (6): 1571-1577 (2008)Speeding up the learning of robot kinematics through function decomposition., and . IEEE Trans. Neural Networks, 16 (6): 1504-1512 (2005)Automatic Recalibration of a Space Robot: An Industrial Prototype., and . ICANN, volume 1112 of Lecture Notes in Computer Science, page 635-640. Springer, (1996)BioCD : An Efficient Algorithm for Self-collision and Distance Computation between Highly Articulated Molecular Models., , and . Robotics: Science and Systems, page 241-248. The MIT Press, (2005)Neural Learning Invariant to Network Size Changes., and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 33-40. Springer, (2001)Architecture-Independent Approximation of Functions., and . Neural Comput., 13 (5): 1119-1135 (2001)A Framework to Deal with Interference in Connectionist Systems., and . AI Commun., 13 (4): 259-274 (2000)Self-calibration of a space robot., and . IEEE Trans. Neural Networks, 8 (4): 951-963 (1997)On-line learning with minimal degradation in feedforward networks., and . IEEE Trans. Neural Networks, 6 (3): 657-668 (1995)Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization., and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 1339-1344. Springer, (2002)