| Title | Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2010 |
| Authors | Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ |
| Conference Name | Proc. 20. Workshop on Computational Intelligence |
| Publisher | Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik |
| 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. |
