Easy-to-use collaborative robotics solutions, where human workers and robots share their
skills, are entering the market, thus becoming the new frontier in industrial robotics. They …

Cutaneous haptic feedback has recently received great attention from researchers in the
robotic teleoperation field, as it has been proven to convey rich information to the human …

Nowadays, we are involved in the fourth industrial revolution, commonly referred to as
“Industry 4.0,” where cyber-physical systems and intelligent automation, including robotics …

Figure 59.1: Left: A robot learns how to make a chess move (namely moving the queen
forward) by generalizing across different demonstrations of the task performed in slightly …

Training robots in real-world environments can be challenging due to time and cost
constraints. To overcome these limitations, robots can be trained in virtual environments …

Current robot programming approaches lack the intuitiveness required for quick and simple
applications. As new robotic applications are being identified, there is a greater need to be …

In this paper, we deal with the problem of learning by demonstration, task level learning and
planning for robotic applications that involve object manipulation. Preprogramming robots …

Trajectory learning is a fundamental component in a robot Programming by Demonstration
(PbD) system, where often the very purpose of the demonstration is to teach complex …

The demand for flexible and re-programmable robots has increased the need for
programming by demonstration systems. In this paper, grasp recognition is considered in a …

In this paper, we address the problem of automatic grasp generation for robotic hands where
experience and shape primitives are used in synergy so to provide a basis not only for grasp …