A dynamic self-reconfigurable mobile robot navigation system
Yan Meng
- 发表年份
- 2006
- 引用次数
- 8
摘要
A mobile robot navigation system must adapt to the highly dynamic environments and emergencies under the real-time constraints. Sometimes some sensors may not work well with new environments while others may need to swap in at runtime to continue the navigation. This paper presents an agent-based embedded system platform which can dynamically reconfigure the robot system on the fly by integrating FPGA hardware and high-performance microprocessors system. Several dynamic reconfiguration models are described to improve the system efficiency with low reconfiguration latency. The reconfiguration architecture specifically for vision system is also presented. This platform can be easily extended to other robot systems, such as server robots, space robots, and multi-robot systems
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