Connectivity of Collaborative Robots in Partially Observable Domains
Suranga Hettiarachchi, Paul M. Maxim, William M. Spears, Diana F. Spears
- 发表年份
- 2008
- 引用次数
- 4
摘要
Abstract: Collaborative information processing is vital for a swarm of robots tasked with many different applications. Swarm connectivity is necessary for achieving good collaboration. Our approach to this is a physics-based autonomous robot framework that acts as a distributed mobile sensor network that is capable of maintaining high connectivity during self-organization and movement. The framework, called Physicomimetics, is a robust control scheme built on local interactions between the robots, making it highly scalable, adaptive, and cost effective. This paper presents connectivity results of mobile sensor networks on two partially observable domains – formation movement through obstacle fields and the self-organization of chain formations.
关键词
相关论文
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