Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …

This article provides an overview of evolutionary robotics techniques applied to online
distributed evolution for robot collectives, namely, embodied evolution. It provides a …

In this paper, we present an implementation of social learning for swarm robotics. We
consider social learning as a distributed online reinforcement learning method applied to a …

Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

The goal of this themed issue and the associated Royal Society and British Academy joint
Discussion Meeting is to advance, and bridge between, two topics and their respective …

Local interactions and communication are key features in swarm robotics, but they are most
often fixed at design time, limiting flexibility and causing a stiff and inefficient response to …

This paper considers the field of Evolutionary Robotics (ER) from the perspective of its
potential users: roboticists. The core hypothesis motivating this field of research is …

Hybrid societies are self-organizing, collective systems, which are composed of different
components, for example, natural and artificial parts (bio-hybrid) or human beings …

Roborobo! is a multi-platform, highly portable, robot simulator for large-scale collective
robotics experiments. Roborobo! is coded in C++, and follows the KISS guideline (" Keep it …

The presence of functional diversity within a group has been demonstrated to lead to greater
robustness, higher performance and increased problem-solving ability in a broad range of …