Two weeks left for submitting to IWMbD2017
The deadline for the submission of peer-reviewed papers to the Third International Workshop on Metamaterials-by-Design has been extended to September…
Ing. Ahmed won the "Student Competition Award" at QNDE-2017
The ELEDIA Research Center is pleased to announce that Ing. S. Ahmed won among all the applicants disciplines into "Student Competition…
IWMbD2017 Registration is Open!
The ELEDIA Research Center announces that the Registration to the "Third International Workshop on Metamaterials-by-Design" is open. The Workshop will…
IEEE-JMMCT Special Section on MbD
The ELEDIA Research Center is pleased to announce an upcoming Special Section of the IEEE Journal on Multiscale and Multiphysics…
R. J. Mailloux has joined ELEDIA
The ELEDIA Research Center is pleased to announce that Dr. R. J. Mailloux is member of the ELEDIA Teaching Staff.…
Cooperative Robotics is a topic very discussed in the scientific community, because this type of systems can give the possibility to explore, in a remote way, a dangerous area where the human presence could be very hazardous. The connection of a robotic platform with a Wireless Sensor Network's (WSN) node, give to every robot the possibility to communicate with the other robot of the system, so that they can cooperate to find the goal of the system in a better way and with less time. A Cooperative Robotics system can be used to explore an area, search a target in this area, create a map, ecc... The integration of Optimization Technics in the system gives more autonomy and more reliability to the Robotics Platform, by improving the calculation made by every robot of the system.
Monitoring and research in a dangerous environment.

Swarm Of Bees

Robot Swarm

Robotic Platform Developped
Members of the ELEDIA Research Center have developed an innovative Robot Swarm able to find, in a research area without the presence of any infrastructure, the zone where a parameter monitored assumes his maximum value, and report it to an external pc-host. The swarm is composed by more robots that cooperate to find the area with the maximum value of the monitored parameter. The movement of the robots are controlled by a Particle Swarm Optimization (PSO) algorithm, an optimization algorithm that follow the logic of how a swarm of bee reach the area where there is more flowers in a grass. The research activities carried out in this area have been focused on the improvement of the movement and the autonomy of the robot in order to reach the solution of the problem in the best way. Moreover, the study and the implementation of other type of robot swarm's strategy in order to enlarge the goal of the system, for example using the sensors mounted in this robot in order to create a map of the research area.


Fitness Progression During the PSO


Position of Pbest and Gbest During the PSO's Iterations

Keywords: Robot Swarm, Wireless Sensor Network, Particle Swarm Optimization (PSO)

See Also
  • F. Viani, M. Donelli, G. Oliveri, and A. Massa, "A mobile wireless sensor network for collaborative tasks achievement by means autonomous robot robot swarm," Proc. 2010 IEEE AP-S International Symposium, Toronto, ON, Canada, July 11-17, 2010.