论文标题
使用功率和精确掌握测量机器人手的可抓握区域
Measuring a Robot Hand's Graspable Region using Power and Precision Grasps
论文作者
论文摘要
机器人手设计和驱动方案的多样性使得很难测量手的可抓手音量。对于最终用户而言,缺乏标准化的测量结果使确定机器人手是掌握对象的合适尺寸,确定先验性的挑战。我们根据精度和功率掌握的实用手部测量标准建议,该标准适用于各种机器人手工设计。所得的测量值可用于确定对象是否适合手并表征相对于手的对象的大小。我们的测量程序使用一种基于掌握假设圆柱体的功能方法,该方法允许测量器选择用于测量的精确手动方向和手指构型。这确保了测量在功能上是可以比较的,同时依靠人来确定最适合预期掌握的手指构型。我们使用YCB数据集的三个商业机器人手设计和对象使用测量标准来证明。
The variety of robotic hand designs and actuation schemes makes it difficult to measure a hand's graspable volume. For end-users, this lack of standardized measurements makes it challenging to determine a priori if a robot hand is the right size for grasping an object. We propose a practical hand measurement standard, based on precision and power grasps, that is applicable to a wide variety of robot hand designs. The resulting measurements can be used to both determine if an object will fit in the hand and characterize the size of an object with respect to the hand. Our measurement procedure uses a functional approach, based on grasping a hypothetical cylinder, that allows the measurer choose the exact hand orientation and finger configurations that are used for the measurements. This ensures that the measurements are functionally comparable while relying on the human to determine the finger configurations that best match the intended grasp. We demonstrate using our measurement standard with three commercial robot hand designs and objects from the YCB data set.