A Case Study on Programming Intelligent Swarm Robots Using Pyro Environment and Player/Stage Simulator
Byung-Jun Lee, Jeong-Hoon Ji, Gyun Woo
- 发表年份
- 2008
- 引用次数
- 4
摘要
A set of robots which shows an intelligent behavior as a whole is called swarm robots. Programming real swarm robots needs a lot of financial cost because many robot hardware systems should be purchased to test the implemented swarm intelligence. In this paper, we report a case study on programming swarm intelligence to control a set of robots using Pyro. Pyro (Python Robotics) is a Python based programming environment to provide a common platform for controlling robots. In practice, Pyro is normally operates on top of a simulator such as Player/Stage. This paper reports the experience on programming swarm robots searching for target objects in a maze. The swarm robots implemented can successfully move the target objects in a maze to the home location, where the robots started from.
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