The optimization of functions to find the best solution according to one or several objectives
has a central role in many engineering and research fields. Recently, a new family of …

The recently introduced multidimensional archive of phenotypic elites (MAP-Elites) is an
evolutionary algorithm capable of producing a large archive of diverse, high-performing …

The high probability of hardware failures prevents many advanced robots (eg, legged
robots) from being confidently deployed in real-world situations (eg, post-disaster rescue) …

Evolution has produced an astonishing diversity of species, each filling a different niche.
Algorithms like MAP-Elites mimic this divergent evolutionary process to find a set of …

The evolution of task-oriented control for robots with complex locomotor systems is currently
out of reach for traditional evolutionary computation techniques, as the coordination of a …

Several methods have already been proposed to automatically design control software for
robot swarms by assembling predefined modules. Yet, so far, the modules on which these …

In real-world environments, robots need to be resilient to damages and robust to unforeseen
scenarios. Quality-Diversity (QD) algorithms have been successfully used to make robots …

Adaptation capabilities, like damage recovery, are crucial for the deployment of robots in
complex environments. Several works have demonstrated that using repertoires of pre …

Four-legged mammals are capable of showing a great variety of movement patterns,
ranging from a simple walk to more complex movement such as trots and gallops. Imbuing …

Quality-Diversity algorithms provide efficient mechanisms to generate large collections of
diverse and high-performing solutions, which have shown to be instrumental for solving …