Adaptive motion system helps robots achieve human-like dexterity with minimal data

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic environments with objects of varying stiffness or weight. To tackle this challenge, researchers from Japan have developed an adaptive motion reproduction system using Gaussian process regression.