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

This article explains how to create and use Gaussian process regression (GPR) models. Compared to other regression techniques, GPR is especially useful when there is limited training data. There are ...

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

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 ...