Stability Analysis for Heterogeneous Swarm Robots with Limited Field of View
Takahiro Endo, Ryuma Maeda, Fumitoshi Matsuno
- Year
- 2019
- Citations
- 3
Abstract
In this paper, we address the stability analysis of swarm robots with heterogeneous abilities for velocity and acceleration. Each robot also has a unique sensing region with a limited angle of field of view. We previously proposed a decentralized navigation method for such swarm robots. With the method, connectivity maintenance is achieved while satisfying physical limitations which are unique to each robot. Here, we focus on the shape of the whole swarm and mathematically prove that the shape and orientations of all robots eventually converge to the equilibrium state. Furthermore, we show experimental results to confirm the convergence.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002