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SECURE PICKING OF DISARRANGED OBJECTS USING PROBABILISTIC REASONING

机译:使用概率推理安全地选择损坏的对象

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摘要

The secure picking of unknown rigid objects from an unstructured heap without damaging the objects is a significant task in industrial as well as in service robotics. For the seek of flexibility, we dispense with object identification and model based planning. Instead, we approach the task by avoiding the inadvertent lifting of not grasped objects during a picking action through the execution of systematic checking and observation operations. This paper first presents our mathematical framework used for the scene description and the execution planning. On that base, we display the essential probabilistic reasoning results for reliable and effective task accomplishment.
机译:在不损坏对象的情况下,安全地从非结构化堆中拾取未知的刚性对象是工业和服务机器人领域的一项重要任务。为了寻求灵活性,我们省去了对象识别和基于模型的计划。相反,我们通过执行系统的检查和观察操作来避免在拣选过程中无意抬起未抓住的物体来完成任务。本文首先介绍了用于场景描述和执行计划的数学框架。在此基础上,我们展示了可靠可靠的任务完成所必需的概率推理结果。

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