Particle Swarm Optimization for the control of a swarm of biological robots
Sreerenjini Nair, Erik Coronado, Michael T. Frye, Tomas Goldaracena, C.H. Aguilar Arguello · 2015
The objective of this paper is to discuss the control of a swarm of robots using the Particle Swarm Optimization (PSO) technique. The authors present fundamental research being conducted at the Autonomous Vehicle Systems Laboratory located at University of the Incarnate Word in developing biologically inspired robots emulating insect foraging and search behavior. PSO technique is used in order to characterize the artificial intelligence and social behaviors implemented in the multi-robot systems. Additionally, the authors will discuss novel approaches for integrating the results into the realm of collaborative and formation control of autonomous ground and air vehicles.