Autonomous Interpretation of Demonstrations for Modification of Dynamical Movement Primitives

Abstract

The concept of dynamical movement primitives (DMPs) has become popular for modeling of motion, commonly applied on robots. This paper presents a framework that allows a robot operator to adjust DMPs in an intuitive way. Given a generated trajectory with a faulty last part, the operator can use lead-through programming to demonstrate a corrective trajectory. A modified DMP is formed, based on the first part of the faulty trajectory and the last part of the corrective one. A real-time application is presented and verified experimentally.