Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies

Abstract

Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preventing a perfect predictive model of its dynamics, a robot ends up only successfully executing a short part of the plan and then requires replanning, using the latest observed state… (More)

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