An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). :573–579.. 2014.
Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. ECVP 2014 Abstracts. 43:107–107.. 2014.
Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 25:1147–1160.. 2014.
Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.. 2014.
Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.. 2014.
Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning. PLoS ONE. 9:e91349.. 2014.
Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.. 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).. 2015.
Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.. 2015.
A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.. 2015.
Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.. 2015.
Independent Joint Learning in Practice: Local Error Estimates to Improve Inverse Dynamics Control. :643–650.. 2015.
Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.. 2015.
Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.. 2015.
Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.. 2015.
A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.. 2015.
Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.. 2015.
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.. 2015.
A Comparison of Null-space Projection and Mixture of Torque Controllers for Motion Generation. Proc. 9th Int. Workshop on Human-Friendly Robotics.. 2016.