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Planning a Grasp Approach, Position, and Pre-Grasp Pose for a Robotic Grasper Based on Object, Grasper, and Environmental Constraint Data

机译:根据对象,抓取器和环境约束数据为机器人抓取器规划抓取方法,位置和预抓取姿势

摘要

A system including a memory having instructions causing a processor to perform operations, for planning a grasping-device approach to an object by a grasping device, a pre-grasp device position, and a pre-grasp device pose. The operations comprise obtaining input data including grasping-device data, object data, and environmental-constraint data, determining, based on the grasping-device data, a grasp volume model, determining a test approach vector, and determining, using the vector, the constraint data, and the model, whether approach vector modification is needed. The operations also include modifying, if modification is needed, the test approach, yielding a resulting approach vector, and determining, if modification is not needed, that the test approach is the resulting approach vector. And the operations include determining a virtual floor indicating a position below which the grasping device cannot move, and determining, based on the resulting vector, virtual floor, model, and object data, the device approach, position, and pose.
机译:一种系统,该系统包括具有指令的存储器,该指令使处理器执行操作,以计划抓握装置对物体的抓握装置接近,预抓握装置的位置以及预抓握装置的姿势。所述操作包括:获得包括抓握装置数据,对象数据和环境约束数据的输入数据;基于抓握装置数据确定抓握体积模型;确定测试进场向量;以及使用该向量来确定抓地力模型。约束数据和模型,是否需要进近向量修改。所述操作还包括:如果需要修改,则修改测试方法;产生结果逼近向量;以及如果不需要修改,则确定测试方法是结果逼近向量。并且这些操作包括确定指示抓持设备不能在其下方移动的位置的虚拟地板,并基于所得矢量,虚拟地板,模型和对象数据确定设备的进近,位置和姿势。

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