SWARM
Reliability and Fault Tolerance in Collective Robot Systems
Lynne E. Parker
- Year
- 2013
- Citations
- 21
Abstract
Collective robotic systems (or, equivalently, multirobot teams) have many potential advantages over single-robot systems, includingincreased speed of task completion through parallelism; improvedsolutions for tasks that are inherently distributed in space, time,or functionality; cheaper solutions for complex applications thatcan be addressed with multiple specialized robots, rather than all-capablemonolithic entities; and increased robustness and reliabilitythrough redundancy [Parker (2008b)].
Keywords
Fault toleranceReliability engineeringReliability (semiconductor)Computer scienceEngineeringPhysics
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