Researchers in Japan have developed an adaptive motion reproduction system that allows robots to ...
This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
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A new analysis of the Hubble constant to show that the Gaussian Processes data reconstruction technique may not actually be independent of all cosmological models -- and that it may be time to ...
We propose a nested Gaussian process (nGP) as a locally adaptive prior for Bayesian nonparametric regression. Specified through a set of stochastic differential equations (SDEs), the nGP imposes a ...
This paper is concerned with everywhere local behaviour of certain classes of random processes which have stationary Gaussian increments. It is shown that for two classes of processes almost all the ...