Industrial robots and associated control methods are continuously developing. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …

Filling the gaps between virtual and physical systems will open new doors in Smart
Manufacturing. This work proposes a data-driven approach to utilize digital transformation …

For many contemporary manufacturing processes, autonomous robotic operators have
become ubiquitous. Despite this, the number of human operators within these processes …

The smart factory is at the heart of Industry 4.0 and is the new paradigm for establishing
advanced manufacturing systems and realizing modern manufacturing objectives such as …

One key competence for robot manufacturers is robot control, defined as all the technologies
needed to control the electromechanical system of an industrial robot. By means of …

To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …

In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …

Deep reinforcement learning (DRL) has proven to be an effective framework for solving
various complex control problems. In manufacturing, industrial robots can be trained to learn …

There is the increased application of new technologies in manufacturing, service, and
communications. Industry 4.0 is the new fourth industrial revolution, which supports …