Inspired by infant development, we propose a three staged developmental framework for an
anthropomorphic robot manipulator. In the first stage, the robot is initialized with a basic …

Humans can perform a multitude of different actions with their hands (manipulations). In
spite of this, so far there have been only a few attempts to represent manipulation types …

Deep learning techniques are having an undeniable impact on general pattern recognition
issues. In this paper, from a developmental robotics perspective, we scrutinize deep learning …

Understanding and learning the semantics of complex manipulation actions are intriguing
and non-trivial issues for the development of autonomous robots. In this paper, we present a …

Understanding continuous human actions is a non-trivial but important problem in computer
vision. Although there exists a large corpus of work in the recognition of action sequences …

Understanding and defining the meaning of “action” is substantial for robotics research. This
becomes utterly evident when aiming at equipping autonomous robots with robust …

We propose an approach for instructing a robot using natural language to solve complex
tasks in a dynamic environment. In this study, we elaborate on a framework that allows a …

Humans, but also robots, learn to improve their behavior. Without existing knowledge,
learning either needs to be explorative and, thus, slow or-to be more efficient-it needs to rely …

In this work we address the problem of finding replacements of missing objects that are
needed for the execution of human-like manipulation tasks. This is a usual problem that is …

Exercising sensorimotor and cognitive functions allows humans, including infants, to interact
with the environment and objects within it. In particular, during everyday activities, infants …