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Current engineering practices generally predict motions through metocean and hydrodynamics based numerical simulations.
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We applied Kalman filter to predict motion information.
Other than in Newtonian and Laplacian physics, we cannot determine and predict motion or direction in the first dimensions of this model.
This paper briefly describes how three generic spatio-temporal energy models have been extended to predict motion derived from two-component stimuli.
Counter-intuitively, this article shows that a numerical model can predict motion over a longer period than an experiment performed on a supposedly identical block.
As stated in "Background" section, it is an important problem to predict motion and not only forces, in order to understand the interaction between the snake robot and object and try to accomplish a task.
Most of such research reports, besides calculating the angle of arrival, used either least-square error estimation or Kalman filtering techniques to predict motion path of sound sources, in order to overcome their local calculation errors.
With only zeroth or first-order terms, the model cannot predict motion.
Although levels of internal noise reduced with age, these did not predict motion coherence thresholds.
The lumbar FRP has also been used to predict motion patterns among low back pain patients [ 1, 17, 37, 38].
The predicted motions are compared to the motion limiting criteria to obtain the operability indices.
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