SWARM
Robot Cooperation without Explicit Communication by Fuzzy Signatures and Decision Trees
Áron Ballagi, László T. Kóczy, T.D. Gedeon
- Year
- 2009
- Citations
- 17
- Access
- Open access
Abstract
This paper presents a novel action selection method for multi robot task sharing problem. Two autonomous mobile robots try to cooperate for push a box to a goal position. Both robots equipped with object and goal sensing, but do not have explicit communication ability. We explore the use of fuzzy signatures and decision making system to intention guessing and efficient action selection. Virtual reality simulation is used to build and test our proposed algorithm.
Keywords
Action selectionComputer scienceRobotTask (project management)Mobile robotSelection (genetic algorithm)Artificial intelligenceAction (physics)Fuzzy logicHuman–computer interaction
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002