Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …

One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

Novelty search is a state-of-the-art evolutionary approach that promotes behavioural novelty
instead of pursuing a static objective. Along with a large number of successful applications …

Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

Soft robots have become increasingly popular in recent years--and justifiably so. Their
compliant structures and (theoretically) infinite degrees of freedom allow them to undertake …

In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …

Grounded in the divergent search paradigm and inspired by the principle of surprise for
unconventional discovery in computational creativity, this paper introduces surprise search …

The application of multi-objective optimisation to evolutionary robotics is receiving
increasing attention. A survey of the literature reveals the different possibilities it offers to …

Quality diversity (QD) is a recent family of evolutionary search algorithms which focus on
finding several well-performing (quality) yet different (diversity) solutions with the aim to …

Extinction events impact the trajectory of biological evolution significantly. They are often
viewed as upheavals to the evolutionary process. In contrast, this paper supports the …