Integrating Symbolic Spatial Information in Robot Navigation
Benjamin J Talbot
- 发表年份
- 2018
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
Navigation cues – like labels, signs, maps, planners, spoken directions, and navigational gestures – provide humans with navigation capabilities that far surpass those of mobile robots. This thesis demonstrates how a mobile robot can use the symbolic spatial information embedded in navigation cues to proficiently navigate unseen built environments. The primary contributions of the thesis reside in the abstract map, a novel tool for grounding navigation symbols. The abstract map imagines abstract layouts and structures for unseen spaces through a mechanical analogy, then tethers the abstract spatial models with robot perceptions to inform navigation to symbolic goals in built environments.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002