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Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their
structure is often complex, with many neurons and connections, especially when the robots …
structure is often complex, with many neurons and connections, especially when the robots …
JGEA: a modular java framework for experimenting with evolutionary computation
We present the Java General Evolutionary Algorithm (JGEA) framework, a modular Java
framework for experimenting with Evolutionary Computation (EC). We designed JGEA to be …
framework for experimenting with Evolutionary Computation (EC). We designed JGEA to be …
Evolving Hebbian learning rules in voxel-based soft robots
According to Hebbian theory, synaptic plasticity is the ability of neurons to strengthen or
weaken the synapses among them in response to stimuli. It plays a fundamental role in the …
weaken the synapses among them in response to stimuli. It plays a fundamental role in the …
Factors impacting diversity and effectiveness of evolved modular robots
In many natural environments, different forms of living organisms successfully accomplish
the same task while being diverse in shape and behavior. This biodiversity is what made life …
the same task while being diverse in shape and behavior. This biodiversity is what made life …
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
Voxel-based Soft Robots (VSRs) are a form of modular soft robots, composed of several
deformable cubes, ie, voxels. Each VSR is thus an ensemble of simple agents, namely the …
deformable cubes, ie, voxels. Each VSR is thus an ensemble of simple agents, namely the …
On the schedule for morphological development of evolved modular soft robots
Abstract Development is fundamental for living beings. As robots are often designed to
mimic biological organisms, development is believed to be crucial for achieving successful …
mimic biological organisms, development is believed to be crucial for achieving successful …
On the impact of body material properties on neuroevolution for embodied agents: The case of voxel-based soft robots
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 …
Neural Networks (ANNs), which need to be carefully fine-tuned. This is where ANN …
Optimizing the sensory apparatus of voxel-based soft robots through evolution and babbling
The behavior of biological and artificial agents strongly depends, in general, on the data
acquired through sensors while interacting with the environment. The sensory apparatus …
acquired through sensors while interacting with the environment. The sensory apparatus …
Self-building neural networks
During the first part of life, the brain develops while it learns through a process called
synaptogenesis. The neurons, growing and interacting with each other, create synapses …
synaptogenesis. The neurons, growing and interacting with each other, create synapses …
On the effects of collaborators selection and aggregation in cooperative coevolution: An experimental analysis
Cooperative Coevolution is a way to solve complex optimization problems by dividing them
in smaller, simpler sub-problems. Those sub-problems are then tackled concurrently by …
in smaller, simpler sub-problems. Those sub-problems are then tackled concurrently by …