Process-Oriented Subsumption Architectures in Swarm Robotic Systems
Jeremy C. Posso, Adam T. Sampson, Jonathan Simpson
- Year
- 2011
- Citations
- 2
Abstract
Previous work has demonstrated the feasibility of using process-oriented programming to implement simple subsumption architectures for robot control. However, the utility and scalability of process-based subsumption architectures for more complex tasks and those involving multiple robots has not been proven. We report our experience of applying these techniques to the implementation of a standard foraging problem in swarm robotics, using occam-π to implement a subsumption control system. Through building a system with a realistic level of complexity, we have discovered both advantages and disadvantages to the process-oriented subsumption approach for larger robot control systems.
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