Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

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 …

Robots are becoming safe and smart enough to work alongside people not only on
manufacturing production lines, but also in spaces such as houses, museums, or hospitals …

This paper proposes an interaction learning method for collaborative and assistive robots
based on movement primitives. The method allows for both action recognition and human …

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 …

Designing a robot system with reasoning and learning ability has gradually become a
research focus in robotics research field. Recently, Skill Transfer Learning (STL), ie, the …

Maritime characteristics make the progress of automatic operations in ships slow, especially
compared to other means of transportation. This caused a great progressive deal of attention …

The dynamical movement primitives (DMPs) model is a useful tool for efficient robotic
learning manipulation skills from human demonstrations and then generalizing these skills …

Robots that interact with humans must learn to not only adapt to different human partners but
also to new interactions. Such a form of learning can be achieved by demonstrations and …

Human-robot collaboration seeks to have humans and robots closely interacting in everyday
situations. For some tasks, physical contact between the user and the robot may occur …