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
Download
MoFTag-CogSys2012-A4.pdf
Autor*in
Einrichtung
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, Christian, Nordmann, Arne, Swadzba, Agnes, Wrede, Sebastian, and Steil, Jochen J. 2012. “Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks”. Presented at the International Conference on Cognitive Systems, Vienna . TU 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.
Volltext(e)
Name
MoFTag-CogSys2012-A4.pdf
Access Level
UniBi Only
Zuletzt Hochgeladen
2019-09-06T09:18:11Z
MD5 Prüfsumme
563506bdd7dbb393f6bbddea2c4f382a
Google Scholar