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Learning Inverse Kinematics (2001)  (Make Corrections)  
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal



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Abstract: Real-time control of the ende#ector of a humanoid robot in external coordinates requires computationally e#cient solutions of the inverse kinematics problem. In this context, this paper investigates learning of inverse kinematics for resolved motion rate control (RMRC) employing an optimization criterion to resolve kinematic redundancies. Our learning approach is based on the key observations that learning an inverse of a non uniquely invertible function can be accomplished by augmenting the... (Update)

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BibTeX entry:   (Update)

@misc{ d'souza-learning,
  author = "Aaron D'Souza and Sethu Vijayakumar and Stefan Schaal",
  title = "Learning Inverse Kinematics",
  url = "citeseer.ist.psu.edu/746860.html" }
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27   Constructive incremental learning from only local informatio.. - Schaal, Atkeson - 2047
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11   Supervised learning with a distal teacher (context) - Jordan - 1992
10   A self-organizing neural model of motor equivalent reaching .. (context) - Bullock, Grossberg et al. - 1993
10   Locally weighted projection regression: An O (context) - Vijayakumar, Schaal - 2000
8   Task-level robot learning - Aboaf, Atkeson et al. - 1988
7   Inverse kinematics for humanoid robots (context) - Tevatia, Schaal
6   Resolution of kinematic redundancy (context) - Baillieul, Martin - 1990
6   Skilled actions: A task-dynamic approach (context) - Saltzman, Kelso - 1987
5   The human arm as a redundant manipulator: The control of pat.. (context) - Cruse, Bruwer - 1987

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