SWARM
Event-driven loop closure in multi-robot mapping
Teresa Vidal‐Calleja, Cyrille Berger, Simon Lacroix
- 发表年份
- 2009
- 引用次数
- 11
摘要
A large-scale mapping approach is combined with multiple robots events to achieve cooperative mapping. The mapping approach used is based on hierarchical SLAM -global level and local maps-, which is generalized for the multi-robot case. In particular, the consequences of multi-robot loop closing events (common landmarks detection and relative pose measurement between robots) are analyzed and managed at a global level. We present simulation results for each of these events using aerial and ground robots, and experimental results obtained with ground robots.
关键词
RobotSimultaneous localization and mappingComputer scienceClosing (real estate)Artificial intelligenceClosure (psychology)Global MapLoop (graph theory)Event (particle physics)Scale (ratio)
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