Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...
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 ...