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3D robotic mapping: A biologic approach

Luan Silveira, Felipe Guth, Paulo Drews, Sílvia Silva da Costa Botelho

发表年份
2013
引用次数
5

摘要

Mapping a 3D environment is a big challenge for roboticists, expecially in underwater environments. Nowadays, the most applied solution to this problem relies in Probabilistic Filters, but with the discovery of neurons in the mammalian brain associated with navigation tasks, biological approaches has been take place. This paper presents a system inspired in mammalian brain to solve the problem of mapping and localization of robots. Preliminaries results in simulated environments shows the relevance of the proposed method, which is highly parallelizable and capable of running in real time applications.

关键词

Parallelizable manifoldComputer scienceSimultaneous localization and mappingProbabilistic logicRobotRelevance (law)Artificial intelligencePipeline (software)Human–computer interactionMobile robot

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