This paper surveys fitness functions used in the field of evolutionary robotics (ER).
Evolutionary robotics is a field of research that applies artificial evolution to generate control …

This review presents a review of prevalent results within research pertaining to emergent
cooperation in biologically inspired artificial social systems. Results reviewed maintain …

Evolutionary Robotics allows robots with limited sensors and processing to tackle complex
tasks by means of sensory-motor coordination. In this article we show the first application of …

Robotic hardware designs are becoming more complex as the variety and number of on-
board sensors increase and as greater computational power is provided in ever-smaller …

This paper introduces a design methodology of a fault-tolerant autonomous multi-robot
system (MRS). An important fundamental topic for this type of system is the design of an on …

This paper describes an approach for controlling an autonomous homogeneous multi-robot
system. An extremely important topic for this type of system is the design of an on-line …

Evolutionary robotics (ER) is a field of research that applies artificial evolution toward the
automatic design and synthesis of intelligent robot controllers. The preceding decade saw …

We have developed a new reinforcement learning (RL) technique called Bayesian-
discrimination-function-based reinforcement learning (BRL). BRL is unique, in that it does …

Today, autonomous robots are used in a rather limited range of applications such as
exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing …

Evolutionary Robotics (ER) is a field of research that applies evolutionary computing
methods to the automated design and synthesis of behavioral robotics controllers. In the …