This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

The healthcare industry is undergoing a profound transformation with the emergence of
revolutionary technologies like artificial intelligence (AI), robotics, and medical automation …

As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

Neuro-evolution is an appealing approach to generating collective behaviors for robot
swarms. In its typical application, known as off-line automatic design, the neural networks …

Natural lifeforms specialize to their environmental niches across many levels, from low-level
features such as DNA and proteins, through to higher-level artefacts including eyes, limbs …

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

Automatic design is a promising approach to the design of control software for robot swarms.
In an automatic design method, the design problem is cast into an optimization problem and …

In many natural environments, there are different forms of living creatures that successfully
accomplish the same task while being diverse in shape and behavior. This biodiversity is …

This paper surveys various applications of artificial evolution in the field of modular robots.
Evolutionary robotics aims to design autonomous adaptive robots automatically that can …