Automatic design is a promising approach to the design of control software for robot swarms.
In an automatic design method, the design problem is cast into an optimization problem and …

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 …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

Designing collective behaviors for robot swarms is a difficult endeavor due to their fully
distributed, highly redundant, and ever-changing nature. To overcome the challenge, a few …

We present two empirical studies on the design of control software for robot swarms. In
Study A, Vanilla and EvoStick, two previously published automatic design methods, are …

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 …

We present Arlequin, an off-line automatic design method that produces control software for
robot swarms by combining behavioral neural-network modules generated via neuro …

Maritime tasks, such as surveillance and patrolling, aquaculture inspection, and wildlife
monitoring, typically require large operational crews and expensive equipment. Only …

The swarm robotics literature has shown that complex tasks can be solved by large groups
of simple robots interacting with each other and their environment. Most of these tasks …