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 the increase in use of autonomous robotic systems for various tasks, including research projects, their ability to operate away from their ideal laboratory environment comes into question. Whilst long term autonomous ...

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. ...

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 ...

The desire to operate highly autonomous robots in harsh conditions which may threaten their survival has demonstrated the need for artificial systems which can adapt to their environment. Traditionally many have attempted ...

In this paper, we describe a new error-driven active learning approach to self-growing radial basis function networks for early robot learning. There are several mappings that need to be set up for an autonomous robot ...

A proposal entitled Europlanet Research Infrastructure (RI) has been submitted to the EU Seventh Framework Programme (FP7). This aims to “consolidate the integration of the planetary science community (which started with ...

Communication is of central importance in collective robotics, as it is integral to the switch from solitary to social behavior. In this article, we study emergent communication behaviors that are not predetermined by the ...

This article describes a simulation model in which artificial evolution is used to design homogeneous control structures and adaptive communication protocols for a group of three autonomous simulated robots. The agents are ...