Title :
A framework for boltzmann-type models of robotic swarms
Author :
Kettler, Alexander ; Wörn, Heinz
Author_Institution :
Inst. for Process Control & Robot., Karlsruhe Inst. of Technol., Karlsruhe, Germany
Abstract :
We introduce a new model framework to describe the temporal evolution of the macroscopic location probability of a robotic swarm in two dimensions based on the Boltzmann equation from statistical physics. The framework features a strong connection between the microscopic behavior of the robots and the macroscopic effects of this behavior. It is distinguished from other existing models by the inclusion of the robots velocities into the model. Therefore it is able to correctly describe the behavior of the robots even in regions with low robot densities or high ratios of deterministic movement of the robots. The model is validated against results from simulations of two simple test-scenarios. A short introduction to the numerics used to evaluate the model is given.
Keywords :
Boltzmann equation; mobile robots; multi-robot systems; Boltzmann equation; Boltzmann-type model; autonomous mobile robot; macroscopic location probability; macroscopic model; microscopic model; robot velocity; robotic swarm; statistical physics; Adaptation models; Collision avoidance; Equations; Mathematical model; Numerical models; Robot sensing systems;
Conference_Titel :
Swarm Intelligence (SIS), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-053-6
DOI :
10.1109/SIS.2011.5952565