Abstract
A new framework is proposed for motor control: the Task Optimization in the Presence of Signal-dependent noise (TOPS) model. By using this model, we need not specify the position, velocity, and acceleration of the hand at the start and end of a movement. We can easily apply this model to any task setting as well as to simple point-to-point reaching movements. Estimation of the optimal trajectories using computer simulations showed that in the case of a moving target, the trajectories estimated by this model are very different from those estimated by the minimum jerk model.
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Miyamoto, H., Wolpert, D.M., Kawato, M. (2003). Computing the Optimal Trajectory of Arm Movement: The TOPS (Task Optimization in the Presence of Signal-Dependent Noise) Model. In: Duro, R.J., Santos, J., Graña, M. (eds) Biologically Inspired Robot Behavior Engineering. Studies in Fuzziness and Soft Computing, vol 109. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1775-1_14
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DOI: https://doi.org/10.1007/978-3-7908-1775-1_14
Publisher Name: Physica, Heidelberg
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