SWARM
Part dispatching rule-based multi-robot coordination in pick-and-place task
Yanjiang Huang, Ryosuke Chiba, Tamio Arai, Tsuyoshi Ueyama, Jun Ota
- Year
- 2012
- Citations
- 5
Abstract
In this paper, the problem of multi-robot coordination for a robot-conveyor system in a pick-and-place task is addressed. To improve the productivity of a robot-conveyor system, the combination of part dispatching rules is utilized to coordinate the action of robots. The greedy randomized adaptive search procedure (GRASP) is utilized to search for the optimal combination of part dispatching rules from a set of candidate part dispatching rules. The proposed method is verified to be effective and practical through a set of tasks in a simulation.
Keywords
GRASPRobotTask (project management)SMT placement equipmentComputer scienceSet (abstract data type)Robot kinematicsGreedy randomized adaptive search procedureGreedy algorithmArtificial intelligence
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