Optimization and learning in neural networks for formation and control of coordinated movement

Computing the optimal trajectory of arm movement: the TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model

Biologically inspired robot behavior engineering

Reinforcement learning with via-point representation

Neural Networks

Different Predictions by the Minimum Variance and Minimum Torque-Change Models on the Skewness of Movement Velocity Profiles

Neural Computation

Construction and evaluation of a model of natural human motion based on motion diversity

Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction

Technical Section: Evaluating the influence of induced passive torques in the simulation of time-varying human poses

Computers and Graphics

A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion

Anticipatory Behavior in Adaptive Learning Systems

On the Possibility about Performance Estimation Just before Beginning a Voluntary Motion Using Movement Related Cortical Potential

Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends