Autonomous decision-making is a fundamental requirement for the intelligent behavior of
individual agents and systems. For artificial systems, one of the key design prerequisites is …

In this paper, we present a way to lead a swarm of robots through four parameters called
repulsion, attraction, orientation, and influence, which are inspired by the behavior of …

Swarm robotics is a promising approach characterized by large numbers of relatively small
and inexpensive robots. Since such systems typically rely on decentralized control and local …

Control design is one of the prominent challenges in the field of swarm robotics.
Evolutionary robotics is a promising approach to the synthesis of self-organized behaviors …

This paper investigates the role of communication in improving coordination within robot
swarms, focusing on a paradigm where learning and execution occur simultaneously in a …

In this article, we present a novel high-performance millirobot (m illi-rob ot-To ronto),
designed to allow for the testing of complex swarm-behaviours, including human–swarm …

Individuals exchange information, experience and strategy based on communication.
Communication is the basis for individuals to form swarms and the bridge of swarms to …

Training of robotic swarms is usually done for a specific task and environment. The more
specific the training is, the more the likelihood of reaching a good performance. Still …

Evolutionary Robotics (ER) is the field of study concerned with the application of
evolutionary computation to the design of robotic systems. Two main issues have prevented …

Training of robotic swarms is usually done for a specific task and environment. The more
specific the training is, the more the likelihood of reaching a good performance. Still …