Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks

Emmerich C, Nordmann A, Swadzba A, Wrede S, Steil JJ (2012)
Presented at the International Conference on Cognitive Systems, Vienna.

Konferenzbeitrag | Veröffentlicht| Englisch
 
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Campus/VPN MoFTag-CogSys2012-A4.pdf
Stichworte
Industrial co-worker scenarios require a save; flexible; and efficient control of robots. Our cognitive system FlexIRob as a prototype for human robot interaction in industry allows flexible handling and fast reconfiguration of a compliant redundant robot system by use of a machine learning approach. Problem Statement: Learning inverse kinematics with redundancy resolution in physical human robot interaction.
Erscheinungsjahr
2012
Konferenz
International Conference on Cognitive Systems
Konferenzort
Vienna
Konferenzdatum
2012-02-22 – 2012-02-23
Page URI
https://pub.uni-bielefeld.de/record/2563604

Zitieren

Emmerich C, Nordmann A, Swadzba A, Wrede S, Steil JJ. Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks. Presented at the International Conference on Cognitive Systems, Vienna.
Emmerich, C., Nordmann, A., Swadzba, A., Wrede, S., & Steil, J. J. (2012). Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks. Presented at the International Conference on Cognitive Systems, Vienna.
Emmerich, C., Nordmann, A., Swadzba, A., Wrede, S., and Steil, J. J. (2012).“Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks”. Presented at the International Conference on Cognitive Systems, Vienna.
Emmerich, C., et al., 2012. Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks. Presented at the International Conference on Cognitive Systems, Vienna.
C. Emmerich, et al., “Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks”, Presented at the International Conference on Cognitive Systems, Vienna, TU Vienna, 2012.
Emmerich, C., Nordmann, A., Swadzba, A., Wrede, S., Steil, J.J.: Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks. Presented at the International Conference on Cognitive Systems, Vienna (2012).
Emmerich, Christian, Nordmann, Arne, Swadzba, Agnes, Wrede, Sebastian, and Steil, Jochen J. “Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks”. Presented at the International Conference on Cognitive Systems, Vienna, TU Vienna, 2012.
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MoFTag-CogSys2012-A4.pdf
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2019-09-06T09:18:11Z
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