Swarm robotics is a promising approach to control large groups of robots. However,
designing the individual behavior of the robots so that a desired collective behavior emerges …

We present Mate, an automatic off-line design method specialized in the design of spatially-
organizing behaviors for robot swarms. Mate belongs to the family of modular methods …

Automatic off-line design is an attractive approach to implementing robot swarms. In this
approach, a designer specifies a mission to be accomplished by the swarm, and an …

Due to the lack of systematic empirical analyses and comparisons of ideas and methods, a
clearly established state of the art is still missing in the optimization-based design of robot …

Energy management systems (EMS) have traditionally been implemented using rule-based
control (RBC) and model predictive control (MPC) methods. However, recent research has …

In this work, we develop a set of behavioral and conditional modules for the use with
behavior trees. We present AutoMoDe-Cedrata, an automatic modular design method that …

Behavior trees are a control architecture that has gained recent attention in AI and robotics.
Previous research on the use of behavior trees in swarm robotics has shown the necessity …

Automatic design is an appealing approach to realizing robot swarms. In this approach, a
designer specifies a mission that the swarm must perform, and an optimization algorithm …

In swarm robotics, the design problem is one of the most pressing issues of today's research.
Robots in a swarm must be autonomous and are usually individually programmed …

The expansion of underwater scenarios and missions highlights the crucial need for
autonomous underwater vehicles (AUVs) to make informed decisions. Therefore …