About the book
Multi-robot systems, defined as a group of robots with a common mission, are one of the most active and challenging research fields. Flexibility, efficiency and robustness are just some of the advantages that these systems provide compared to single-robot environments. Nevertheless, a great number of issues must be addressed in order to take the most of those advantages, like for example, task division, task allocation, robot motion control and so on. Specifically, the aim of this book is to compile the most representative works developed in this field that, among others, face up the following issues and topics:
* Formal and agent-based methods for predicting the system's behavior.
* Swarm-based and market-based algorithms for controlling collectives of robots.
* Control and task allocation with real restrictions like, for example, temporal constrains (deadlines) or communication restrictions.
* Motion control algorithms, including formation and multi-robot obstacle avoidance.
* New real applications of multi-robots systems to fill the gap between simulations and real robots.