Aims and Topics

Multi-robot systems are emerging as a new frontier in Robotics research, posing new challenges and offering new solutions to old problems. Multi-robot systems are usually employed to solve tasks that are impossible, or very difficult, for just one robot. They are also used to solve, in a more efficiently way, tasks that can be realized by isolated robots. Finally, multi-robots systems may provide a means to introduce redundancy in critical or dangerous tasks, where the possibility of losing a robot is high, or in situations where information is fragmented or incomplete. Multi-robot systems may be considered a particular case of multi-agent systems, so they are collections of interacting and cooperating autonomous agents, in this case with physical embodiment that impose restrictions on what they can do and how they interact with the environment.

The aim of this special session is to present state of the art papers on multi-robot systems that make use of Hybrid Intelligent approaches including biological inspired techniques like Evolutionary Algorithms, Neural Networks, etc. Thus, the topics of interest include:

  • Heterogeneous and modular robot architectures.
  • Heterogeneous multi-robot team coordination.
  • Cooperation hierarchies.
  • Cooperative multi-robot exploration.
  • Inter-robot communications.
  • Reactive distributed behavioural teams.
  • Perception based control: visual servoing and SLAM.
  • Self-organizing robot teams.
  • Linked Multi-Component Robotic Systems
  • Multi-agent strategies for multi-robot systems.
  • Hybrid approaches to robot cognition systems.
  • Hybrid approaches to sensing and actuation.


  • Manuel Graña, Universidad del País Vasco,
  • Richard J. Duro, Universidade da Coruña,
  • Javier de Lope, Universidad Politécnica de Madrid,

Layout by Maciej Krysmann, photographies by Szymon Sztajer