New approaches and techniques are continuously and rapidly introduced and adopted in
today's manufacturing environment. Recently, there has been an explosion of interest in …

Artificial neural networks with such characteristics as learning, graceful degradation, and
speed inherent to parallel distributed architectures might provide a flexible and cost solution …

Newborns demonstrate innate abilities in coordinating their sensory and motor systems
through reflexes. One notable characteristic is circular reactions consisting of self-generated …

For robotics, especially industrial applications, it is crucial to reactively plan safe motions
through efficient algorithms. Planning is more powerful in the configuration space than the …

The self-organizing feature maps developed by Kohonen appear to capture some of the
advantages of the natural systems on which they are based. A summary of the operation of …

Inspired by the oscillatory nature of cerebral cortex activity, we recently proposed and
studied self-organizing maps (SOMs) based on limit cycle neural activity in an attempt to …

Motion planning in the configuration space (C-space) induces benefits, such as smooth
trajectories. It becomes more complex as the degrees of freedom (DOF) increase. This is …

Reference-frames, or coordinate systems, are used to express properties and relationships
of objects in the environment. While the use of reference-frames is well understood in …

Creating and studying neurocognitive architectures is an active and increasing focus of
research efforts. Based on our recent research that uses neural activity limit cycles in self …

Motion planning in the configuration space (C-space) induces benefits, such as smooth
trajectories. It becomes more complex as the degrees of freedom (DOF) increase. This is …