This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their
applications in image processing. The PCNN is a neurology-inspired neural network model …

Applying neural networks as controllers in dynamical systems has shown great promises.
However, it is critical yet challenging to verify the safety of such control systems with neural …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

This article is a historical perspective on how the study of the neuromechanics of insects and
other arthropods has inspired the construction, and especially the control, of hexapod …

We would like the behavior of the artificial agents that we construct to be as well-adapted to
their environments as natural animals are to theirs. Unfortunately, designing controllers with …

WHEN IT COMES TO AUTONOMOUS ROBOTS, THE CONTRAST between fantasy and
reality is really quite striking. On the one hand, we have the fantasy of such anthropomorphic …

We present fully distributed neural network architecture for controlling the locomotion of a
hexapod robot. The design of this network is directly based on work on the neuroethology of …

Evolutionary Robotics is a method for the automatic creation of autonomous robots [86]. It is
inspired by the Darwinian principle of selective reproduction of the fittest captured by …

The inability of current “classical” AI systems to handle unconstrained interaction with the
real world has recently lead to a search for new control architectures for autonomous agents …

Understanding how behavior is controlled requires that modeling be combined with
behavioral, electrophysiological, and neuroanatomical investigations. One problem in …