SWARM
The Progress of Simultaneous Localization and Mapping for Mobile Robot
Bingrong Hong
- Year
- 2004
- Citations
- 4
Abstract
This paper surveys the latest progress of simultaneous localization and mapping (SLAM). After pointing out the problems that are main stumbling blocks in the development of SLAM,the fundamental method for SLAM is introduced and the properties of the improved algorithms are compared,specially the key techniques to reduce computational burden and improve the robustness are discussed in detail. Multi-robot cooperative simultaneous localization and mapping is also introduced. And the further research and development directions are discussed.
Keywords
Computer scienceSimultaneous localization and mappingRobustness (evolution)Mobile robotKey (lock)RobotArtificial intelligenceComputer visionComputer security
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