Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …

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 …

Nonlinear dynamical systems have been used in many disciplines to model complex
behaviors, including biological motor control, robotics, perception, economics, traffic …

We aim to endow a robot with the ability to learn manipulation concepts that link natural
language instructions to motor skills. Our goal is to learn a single multi-task policy that takes …

Movement Primitives are a well-established paradigm for modular movement representation
and generation. They provide a data-driven representation of movements and support …

" Forensic document examination is the study of physical evidence and physical evidence
cannot lie. Only its interpretation can err. Only the failure to find it, or to hear its true testimony …

The framework of dynamic movement primitives (DMPs) contains many favorable properties
for the execution of robotic trajectories, such as indirect dependence on time, response to …

We propose a structured prediction approach for robot imitation learning from
demonstrations. Among various tools for robot imitation learning, supervised learning has …

This paper proposes an end-to-end learning from demonstration framework for teaching
force-based manipulation tasks to robots. The strengths of this work are manyfold. First, we …