论文标题
通过超声悬浮对毫米尺度对象进行无接触式操纵
Contact-less manipulation of millimeter-scale objects via ultrasonic levitation
论文作者
论文摘要
尽管通用机器人操纵器在操纵各种物体方面变得越来越有能力,但它们操纵毫米级对象的能力通常非常有限。另一方面,已经显示出超声波悬浮装置可以悬浮,从聚苯乙烯球到活生物体,悬浮了各种小物体。通过控制声力场,超声波悬浮装置可以补偿机器人操纵器的定位不确定性并控制施加在目标对象上的抓地力。声音悬浮设备的物质不可知性及其敏捷地操纵毫米尺度的物体的能力使它们作为通用机器人的抓握模式具有吸引力。在这项工作中,我们提出了一种超声波,无接触式操纵装置,可以通过任何通用机器人臂连接或拾取,从而实现毫米规模的操纵,几乎没有对机器人本身进行修改。该设备能够在声学反射表面上执行第一阶段对照的采摘动作。将操纵器放置在目标物体周围时,操纵器可以掌握比机器人的定位不确定性小的大小的物体,在机器人移动过程中捕获对象以抵抗气流,并敏捷地握住一个小而脆弱的物体,例如花芽。由于基于超声的握把的无接触性质,因此位于圆柱体的摄像机可以在不遮挡的情况下检查对象,从而促进准确的视觉特征提取。
Although general purpose robotic manipulators are becoming more capable at manipulating various objects, their ability to manipulate millimeter-scale objects are usually very limited. On the other hand, ultrasonic levitation devices have been shown to levitate a large range of small objects, from polystyrene balls to living organisms. By controlling the acoustic force fields, ultrasonic levitation devices can compensate for robot manipulator positioning uncertainty and control the grasping force exerted on the target object. The material agnostic nature of acoustic levitation devices and their ability to dexterously manipulate millimeter-scale objects make them appealing as a grasping mode for general purpose robots. In this work, we present an ultrasonic, contact-less manipulation device that can be attached to or picked up by any general purpose robotic arm, enabling millimeter-scale manipulation with little to no modification to the robot itself. This device is capable of performing the very first phase-controlled picking action on acoustically reflective surfaces. With the manipulator placed around the target object, the manipulator can grasp objects smaller in size than the robot's positioning uncertainty, trap the object to resist air currents during robot movement, and dexterously hold a small and fragile object, like a flower bud. Due to the contact-less nature of the ultrasound-based gripper, a camera positioned to look into the cylinder can inspect the object without occlusion, facilitating accurate visual feature extraction.