Enhancing Robotic Adaptability through Unsupervised Trajectory Segmentation and Conditional Probabilistic Movement Primitives

A novel framework that integrates unsupervised trajectory segmentation with adaptive probabilistic movement primitives (ProMPs) to enhance robotic adaptability and learning efficiency in dynamic environments.