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Robot navigation in unknown terrains via multi-resolution grid maps

R.H.T. Chan, P.K.S. Tam, D.N.K. Leung

发表年份
2002
引用次数
12

摘要

The authors propose techniques for navigation in an unexplored terrain that is arbitrarily populated with both concave and convex curved obstacles of unknown dimensions and locations. A method of robot navigation is presented which does not require a prelearned model and which can escape from concave dead-end corridors in local planning. It contains a component for learning that allows for continuous transition from local path planning to global path planning. The navigation process is composed of a number of traversals: each traversal is from an arbitrary source point to an arbitrary destination point. Initially, the terrain is explored using sensors, and the paths of the traversals may be suboptimal. A multi-resolution grid map is used to model the obstacle terrain, being incrementally constructed by integrating all relevant information.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

TerrainTree traversalGridComputer scienceMotion planningComputer visionRobotArtificial intelligenceObstacleProcess (computing)

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