Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks

Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ (2010)
In: Proc. 20. Workshop on Computational Intelligence. Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik.

Conference Paper | Published | English

No fulltext has been uploaded

Abstract
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.
Publishing Year
PUB-ID

Cite this

Wrede S, Johannfunke M, Lemme A, et al. Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. In: Proc. 20. Workshop on Computational Intelligence. Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik; 2010.
Wrede, S., Johannfunke, M., Lemme, A., Nordmann, A., Rüther, S., Weirich, A., & Steil, J. J. (2010). Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
Wrede, S., Johannfunke, M., Lemme, A., Nordmann, A., Rüther, S., Weirich, A., and Steil, J. J. (2010). “Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks” in Proc. 20. Workshop on Computational Intelligence (Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik).
Wrede, S., et al., 2010. Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. In Proc. 20. Workshop on Computational Intelligence. Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik.
S. Wrede, et al., “Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks”, Proc. 20. Workshop on Computational Intelligence, Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, 2010.
Wrede, S., Johannfunke, M., Lemme, A., Nordmann, A., Rüther, S., Weirich, A., Steil, J.J.: Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence. Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, Dortmund (2010).
Wrede, Sebastian, Johannfunke, Michael, Lemme, Andre, Nordmann, Arne, Rüther, Stefan, Weirich, Alicia, and Steil, Jochen J. “Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks”. Proc. 20. Workshop on Computational Intelligence. Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, 2010.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar