Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

The application of robots in mechanical assembly increases the efficiency of industrial
production. With the requirements of flexible manufacturing, it has become a research …

In this paper we introduce a novel framework for expressing and learning force-sensitive
robot manipulation skills. It is based on a formalism that extends our previous work on …

Nowadays, industrial robots have been widely applied for performing position-controlled
tasks with minimum contact such as spot welding, spray painting, packing, and material …

Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …

Assembly robots have been widely used in the manufacturing industry. However, performing
precise assembly tasks still poses a great challenge for robots due to numerous sources of …

Constructing system models in industrial tasks is difficult, especially when multiple sensing
information is involved. The peg-in-hole task is typically complex in industrial manufacturing …

Because of the complexity of interaction between the robot and the environment, robotic peg-
in-hole assembly has always been a hot research topic in the fields of robotics and …

Purpose–The purpose of this paper is to propose a new algorithm based on programming
by demonstration and exception strategies to solve assembly tasks such as peg-in-hole …

One promising function of interactive robots is to provide a specific interaction force to
human users. For example, rehabilitation robots are expected to promote patients' recovery …