Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...

This paper reports on a developmental approach to the learning of communication in embodied agents, taking inspiration from child development and recent advances in the understanding of the mirror neuron system within the ...

Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration ...

With autonomous robotic systems increasingly being used for various tasks including research projects, their ability to operate away from their ideal laboratory environment comes into question. Whilst long term autonomous ...

In this paper, we show how a simulated humanoid robot controlled by an artificial neural network can acquire the ability to manipulate spherical objects located over a table by reaching, grasping, and lifting them. The ...

Robotic systems range from teleoperated to fully autonomous (where no human intervention takes place). The word “telerobotic” describes robotic systems which, although guided by a human, have a degree of autonomous behavior. ...

Like computer chess, robot soccer can be thought of as a game in which the agents on one team cooperate to control more space more comprehensively than the opposing team. Tactical issues such as winning and holding the ...

Feature Selection (FS) or Attribute Reduction techniques are employed for dimensionality reduction and aim to select a subset of the original features of a dataset which are rich in the most useful information. The benefits ...

This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment. By using structural evolution, minimal recurrent neural networks ...