Efficient exploratory learning of inverse kinematics on a bionic elephant trunk

Rolf M, Steil JJ (2014)
IEEE Trans. Neural Networks and Learning Systems 25(6): 1147-1160.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Rolf, MatthiasUniBi; Steil, Jochen J.UniBi
Einrichtung
Technische Fakultät
Research Institute for Cognition and Robotics
Center of Excellence - Cognitive Interaction Technology CITEC
Erscheinungsjahr
2014
Zeitschriftentitel
IEEE Trans. Neural Networks and Learning Systems
Band
25
Ausgabe
6
Seite(n)
1147-1160
ISSN
2162-237X
eISSN
2162-2388
Page URI
https://pub.uni-bielefeld.de/record/2637635

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Rolf M, Steil JJ. Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 2014;25(6):1147-1160.
Rolf, M., & Steil, J. J. (2014). Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems, 25(6), 1147-1160. doi:10.1109/TNNLS.2013.2287890
Rolf, Matthias, and Steil, Jochen J. 2014. “Efficient exploratory learning of inverse kinematics on a bionic elephant trunk”. IEEE Trans. Neural Networks and Learning Systems 25 (6): 1147-1160.
Rolf, M., and Steil, J. J. (2014). Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems 25, 1147-1160.
Rolf, M., & Steil, J.J., 2014. Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems, 25(6), p 1147-1160.
M. Rolf and J.J. Steil, “Efficient exploratory learning of inverse kinematics on a bionic elephant trunk”, IEEE Trans. Neural Networks and Learning Systems, vol. 25, 2014, pp. 1147-1160.
Rolf, M., Steil, J.J.: Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 25, 1147-1160 (2014).
Rolf, Matthias, and Steil, Jochen J. “Efficient exploratory learning of inverse kinematics on a bionic elephant trunk”. IEEE Trans. Neural Networks and Learning Systems 25.6 (2014): 1147-1160.
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