Robots are complex to develop due to the diversity of hardware, software components and
the absence of common standards. To deal with these problems, Model-Driven Engineering …

Combined efforts in the fields of neuroscience, computer science, and biology allowed to
design biologically realistic models of the brain based on spiking neural networks. For a …

Snake-like robots with 3D locomotion ability have significant advantages of adaptive
travelling in diverse complex terrain over traditional legged or wheeled mobile robots …

Being able to replicate real experiments with computational simulations is a unique
opportunity to refine and validate models with experimental data and redesign the …

In traditional robotics, model-based controllers are usually needed in order to bring a robotic
plant to the next desired state, but they present critical issues when the dimensionality of the …

Humanoid robots are often supposed to operate in non-deterministic human environments,
and as a consequence, the robust and gentle rejection of the external perturbations is …

To control highly-dynamic compliant motions such as running or hopping, vertebrates rely
on reflexes and Central Pattern Generators (CPGs) as core strategies. However, decoding …

This article introduces the enhanced Runtime Analyzing and Visualization Simulator
(RAVSim) v2. 0, a graphical tool that not only supports SNN design and analysis but also …

Connecting biologically inspired neural simulations to physical or simulated embodiments
can be useful both in robotics, for the development of a new kind of bio-inspired controllers …

Although we can measure muscle activity and analyze their activation patterns, we
understand little about how individual muscles affect the joint torque generated. It is known …