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In human beings, the joint development of the body and cognitive system has been shown to facilitate the acquisition of new skills and abilities. In the literature, these natural principles have been applied to robotics with mixed results and ...

An important challenge in the field of autonomous open-ended learning is the autonomous learning of interdependent tasks, and in particular when such interdependencies are non-stationary, so that the robot has to modify the acquired knowledge to properly ...

A successful development of a complex multicellular organism took millions of years of evolution. The genome of such a multicellular organism guides the development of its body from a single cell, including its control system. Our goal is to imitate this ...

Robots are still missing the ability to adapt to new environments. However, biological systems are able to adapt to new environments with ease; perhaps because they have the ability to react to environmental input during a growth phase with changes not ...

The potential that robots offer to support humans in multiple aspects of our daily lives is increasingly acknowledged. Despite the clear progress in social robotics and human-robot interaction, the actual realization of this potential still faces ...

Evolutionary algorithms have previously been applied to the design of morphology and control of robots. The design space for such tasks can be very complex, which can prevent evolution from efficiently discovering fit solutions. In this article we ...

The common approach for training robots is to expose them to different environmental scenarios, training their controllers to have the best possible commands when untrained scenarios are encountered. When humans train, they do the same. They try new ...

Humans can effortlessly perceive an object they encounter for the first time in a possibly cluttered scene and memorize its appearance for later recognition. Such performance is still difficult to achieve with artificial vision systems because it is not ...

The skill of robotic hand-eye coordination not only helps robots to deal with real time environment, but also affects the fundamental framework of robotic cognition. A number of approaches have been developed in the literature for construction of the ...

Aldebaran Robotics is launching a developmental robotics activity as part of the new A-Lab research entity. The focus will be fundamental research and the scope of interest will range from low level categorization of sensorimotor information, up to high ...

Learning how to control arm joints for goal-directed reaching tasks is one of the earliest skills that need to be acquired by Developmental Robotics in order to scaffold into tasks of higher Intelligence. Motor Babbling seems as a promising approach ...

We present the transparent neural networks, a graph-based computational model that was designed with the aim of facilitating human understanding. We also give an algorithm for developing such networks automatically by interacting with the environment. ...

Developmental robotics (also known as epigenetic robotics) is mainly concerned with modeling the postnatal development of cognitive behaviors in living systems, such as language, emotion, curiosity, anticipation, and social skills. While current work in ...

We present here the design and applications of an arousal-based model controlling the behavior of a Sony AIBO robot during the exploration of a novel environment: a children's play mat. When the robot experiences too many new perceptions, the increase ...

The multilevel Darwinist brain (MDB) is a cognitive architecture that follows an evolutionary approach to provide autonomous robots with lifelong adaptation. It has been tested in real robot on-line learning scenarios obtaining successful results that ...

Inspired by child development and brain research, we introduce a computational framework which integrates robotic active vision and reaching. Essential elements of this framework are sensorimotor mappings that link three different computational domains ...

The behavior of natural systems is governed by rhythmic behavior cycles at the biological, cognitive, and social levels. These cycles permit natural organisms to adapt their behavior to their environment for survival, behavioral efficiency, or ...

A range of different value systems have been proposed for self-motivated agents, including biologically and cognitively inspired approaches. Likewise, these value systems have been integrated with different behavioral systems including reflexive ...

This paper advocates an approach for learning communicative actions and manual skills in the same framework. We exploit a fundamental relationship between the structure of motor skills, intention, and communication. Communicative actions are acquired ...

A robot that can communicate with humans using natural language will have to acquire a grammatical framework. This paper analyses some crucial underlying mechanisms that are needed in the construction of such a framework. The work is inspired by ...