Biblio
] .
2009. Robot Motion and Control 2009. :381–390.
.
2016. A method of improving the dynamic response of 3D force/torque sensors. Mechanical Systems and Signal Processing. 68-69:366–377.
.
2010. A Three-Loop Model-Following Control Structure: Theory and Implementation. International Journal of Control. 83:97–104.
.
2006. A Two-Loop Implicit Force/Position Control Structure, Based on a Simple Linear Model: Theory and Experiment. IEEE International Conference on Robotics and Automation. :2232–2237.
.
2006. Simple two degree of freedom structures and their properties. Robotica. 24:365–372.
.
2004. Forward-model-based control system for robot manipulators. Robotica. 22:155–161.
.
2009. A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. Solid State Phenomena. 147-149:1–6.
.
2010. Simple Robust Control Structures Based on the Model-Following Concept - A Theoretical Analysis. International Journal of Robust and Nonlinear Control.
.
2008. A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. The 4th International Conference Mechatronic Systems and Materials. :3–4.
.
2006. Hybrid model-based force/position control: theory and experimental verification. Robotica. 24:775–783.
.
2005. Multi-loop model-based control structure for robot manipulators. Robotica. 23:491–499.
.
2012. Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
.
2013. Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
.
2015. Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
.
2014. Reliability of Extreme Learning Machines. :155.
.
2011. Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
.
2013. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
.
2012. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 4:230–246.
.
2013. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
.
2012. Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.
.
2010. Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
.
2013. Reliable Integration of Continuous Constraints into Extreme Learning Machines. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21:35–50.
.
2015. Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling. 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).
