We examine the challenging “marriage” between computational efficiency and biological
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …

Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …

We present the Java General Evolutionary Algorithm (JGEA) framework, a modular Java
framework for experimenting with Evolutionary Computation (EC). We designed JGEA to be …

Artificial agents required to perform non-trivial tasks are commonly controlled with Artificial
Neural Networks (ANNs), which need to be carefully fine-tuned. This is where ANN …

As opposed to the traditional view wherein intelligence was believed to be a result of
centralised complex monolithic rules, it is now believed that the phenomenon is multi-scale …

Modular robots are promising for their versatility and large design freedom. Modularity can
also enable automatic assembly and reconfiguration, be it autonomous or via external …

In this chapter, we survey the most significant applications of EML to robotics. We first
highlight the salient characteristics of the field in terms of what can be optimized and with …

Modular robots, in particular those in which the modules are physically interchangeable, are
suitable to be evolved because they allow for many different designs. Moreover, they can …

Neural Cellular Automata (NCA) models are trainable variations of traditional Cellular
Automata (CA). Emergent motion in the patterns created by NCA has been successfully …

Cellular automata (CA) are a convenient way to describe the distributed evolution of a
dynamical system over discrete time and space. They can be used to express evolutionary …