Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …

Evolution has provided a source of inspiration for algorithm designers since the birth of
computers. The resulting field, evolutionary computation, has been successful in solving …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

We present RoboGrammar, a fully automated approach for generating optimized robot
structures to traverse given terrains. In this framework, we represent each robot design as a …

One of the key differentiators between biological and artificial systems is the dynamic
plasticity of living tissues, enabling adaptation to different environmental conditions, tasks, or …

Until recently, the potential to transfer evolved skills across distinct optimization problem
instances (or tasks) was seldom explored in evolutionary computation. The concept of …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

An increasingly popular theory in cognitive science claims that brains are essentially
prediction machines (Hohwy 2013). The theory is variously known as the Bayesian brain …

One of the most useful metaphors for driving scientific and engineering progress has been
that of the “machine.” Much controversy exists about the applicability of this concept in the …

There’s Plenty of Room Right Here: Biological Systems as Evolved, Overloaded,
Multi-Scale Machines Next Article in Journal Exploration of the Design of Spiderweb-Inspired …