RT Journal Article
T1 Soft Computing for Swarm Robotics: 												New Trends and Applications
A1 Osaba, Eneko
A1 Del Ser, Javier
A1 Iglesias, Andres
A1 Yang, Xin She
AB Robotics have experienced a meteoric growth over the last decades, reaching unprecedented levels of distributed intelligence and self-autonomy. Today, a myriad of real-world scenarios can benefit from the application of robots, such as structural health monitoring, complex manufacturing, efficient logistics or disaster management. Related to this topic, there is a paradigm connected to Swarm Intelligence which is grasping significant interest from the Computational Intelligence community. This branch of knowledge is known as Swarm Robotics, which refers to the development of tools and techniques to ease the coordination of multiple small-sized robots towards the accomplishment of difficult tasks or missions in a collaborative fashion. The success of Swarm Robotics applications comes from the efficient use of smart sensing, communication and organization functionalities endowed to these small robots, which allow for collaborative information sensing, operation and knowledge inference from the environment. The numerous industrial and social applications that can be addressed efficiently by virtue of swarm robotics unleashes a vibrant research area focused on distributing intelligence among autonomous agents with simple behavioral rules and communication schedules, yet potentially capable of realizing the most complex tasks. In this context, we present and overview recent contributions reported around this paradigm, which serves as an exemplary excerpt of the potential of Swarm Robotics to become a major research catalyst of the Computational Intelligence arena in years to come.
SN 1877-7503
YR 2020
FD 2020-01
LK https://hdl.handle.net/11556/4112
UL https://hdl.handle.net/11556/4112
LA eng
NO Osaba , E , Del Ser , J , Iglesias , A & Yang , X S 2020 , ' Soft Computing for Swarm Robotics : New Trends and Applications ' , Journal of Computational Science , vol. 39 , 101049 . https://doi.org/10.1016/j.jocs.2019.101049
NO Publisher Copyright: © 2019
NO The guest editorial team would like to thank Prof. Peter Sloot, the Editor-in-Chief of the Journal of Computational Science, and his team for their valuable help and assistance during the preparation and management of this special issue. We would also like to thank the reviewers for the insightful and valuable comments made on the submitted manuscripts, which reflect on the high quality of the finally published submissions. A. Iglesias acknowledge the financial support from the project PDE-GIR of the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 778035, and the project TIN2017-89275-R of the Agencia Estatal de Investigacion, Spanish Ministry of Science, Innovation and Universities (Computer Science National Program) and European Funds EFRD (AEI/FEDER, UE).Finally, Eneko Osaba and Javier Del Ser would like to thank the Basque Government for its funding support through the EMAITEK and ELKARTEK funding programs.
DS TECNALIA Publications
RD 28 jul 2024