A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems
Matthias Rambow, Florian Rohrmüller, Omiros Kourakos, Dražen Brščić, Dirk Wollherr, Sandra Hirche, Martin Buss
- 发表年份
- 2010
- 引用次数
- 9
- 访问权限
- 开放获取
摘要
Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.
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