One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

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 …

Embodied evolutionary robotics is a sub-field of evolutionary robotics that employs
evolutionary algorithms on the robotic hardware itself, during the operational period, ie, in an …

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 …

Embodied evolutionary robotics is an on-line distributed learning method used in collective
robotics where robots are facing open environments. This paper focuses on learning …

In time-critical situations such as rescue missions, effective exploration is essential.
Exploration of such unknown environments may be achieved through the dispersion of a …

Behavioral diversity is known to benefit problem-solving in biological social systems such as
insect colonies and human societies, as well as in artificial distributed systems including …

In this paper, we study the impact of selection methods in the context of on-line on-board
distributed evolutionary algorithms. We propose a variant of the mEDEA algorithm in which …

In this paper, we study how a swarm of robots adapts over time to solve a collaborative task
using a distributed Embodied Evolutionary approach, where each robot runs an evolutionary …