TY  - CHAP
AU  - Songdong Xue
AU  - Jianchao Zeng
AU  - Jinwei Guo
ED  - Ester Martinez Martin
Y1  - 2010-03-01
PY  - 2010
T1  - Key Aspects of PSO-Type Swarm Robotic Search: Signals Fusion and Path Planning
N2  - In nature, it is possible to observe a cooperative behaviour in all animals, since, according to 
Charles Darwin’s theory, every being, from ants to human beings, form groups in which most 
individuals work for the common good. However, although study of dozens of social species has 
been done for a century, details of how and why cooperation evolved remain to be worked out. 
Actually, cooperative behaviour has been studied from different points of view. 
Swarm robotics is a new approach that emerged on the field of artificial swarm intelligence, as well 
as the biological studies of insects (i.e. ants and other fields in nature) which coordinate their 
actions to accomplish tasks that are beyond the capabilities of a single individual. In particular, 
swarm robotics is focused on the coordination of decentralised, self-organised multi-robot systems 
in order to describe such a collective behaviour as a consequence of local interactions with one 
another and with their environment.  
This book has only provided a partial picture of the field of swarm robotics by focusing on practical 
applications. The global assessment of the contributions contained in this book is reasonably 
positive since they highlighted that it is necessary to adapt and remodel biological strategies to cope 
with the added complexity and problems that arise when robot individuals are considered.
BT  - Swarm Robotics
SP  - Ch. 4
UR  - https://doi.org/10.5772/8598
DO  - 10.5772/8598
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -