Purpose This paper aims to introduce an imitation learning framework for a wheeled mobile
manipulator based on dynamical movement primitives (DMPs). A novel mobile manipulator …

Industry 4.0 requires new production models to be more flexible and efficient, which means
that robots should be capable of flexible skills to adapt to different production and …

It is an effective way for the robots to learn operation skills from the humans. In this paper, we
realize a skill learning system based on a teleportation system for transferring the human …

In this paper, we propose an imitation learning method based on the optimization of the
dynamic movement primitives (DMPs). The DMPs framework is one of the common methods …

In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

In industrial environments robots are used for various tasks. At this moment it is not feasible
for companies to deploy robots for productions with a limited batch size or for products with …

Purpose Imitation learning is a powerful tool for planning the trajectory of robotic end-
effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; …

In order to effectively transfer human's manipulation skills to a robot, in this chapter, we
investigate skill-learning functions via our proposed wearable device. The robotic …

Conventional humanoid robotic behaviors are directly programmed depending on the
programmer's personal experience. With this method, the behaviors usually appear …

This paper presents a motion planning and control system architecture development for
autonomous earthmoving operations in excavating machines such as loading a dump truck …