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

In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

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 …

We propose a new methodology for learning and adaption of manipulation skills that involve
physical contact with the environment. Pure position control is unsuitable for such tasks …

Programming by Demonstration (PbD) is an efficient way for non-experts to teach new skills
to a robot. PbD can be carried out in different ways, for instance, by kinesthetic guidance …

Abstract Model-based reinforcement learning is a powerful paradigm for learning tasks in
robotics. However, in-depth exploration is usually required and the actions have to be …

Automated peg-in-hole assembling approach using Force/Torque sensor and vision system
is presented in this research. The complicity of the assembling task due to parts' geometries …

We propose a framework based on imitation learning and self-learning to enable robots to
learn, improve, and generalize motor skills. The peg-in-hole task is important in …

Industrial robots are reliable machines for manufacturing tasks such as welding, panting,
assembly, palletizing or kitting operations. They are traditionally programmed by an operator …

A large part of industrial assembly tasks can be broken down to permutations of Peg-in-Hole
actions. In this paper we compare the success rate of such actions using traditional robot …