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 ...

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 object properties and stiffness.

Motivated by Gaussian tests for a time series, we are led to investigate the asymptotic behavior of the residual empirical processes of stochastic regression models. These models cover the fixed ...

Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...