论文标题

Gelsight Fin Ray:将触觉传感纳入柔软的机器人抓手

GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant Robotic Gripper

论文作者

Liu, Sandra Q., Adelson, Edward H.

论文摘要

为了适应不断变化的环境并确保人类互动的安全,机器人应具有合规和柔软的特征以及感知周围世界的能力。即便如此,由于其可变形的结构,也很难将触觉传感掺入柔软的符合符合条件的机器人(如鳍射线手指)。不仅需要修改框架以允许视觉传感器的空间,这使得可以使触觉传感复杂,而且机器人还必须保留其原始机械符合的属性。但是,很难在软手指中添加高分辨率触觉传感器,因为许多传感器的手指(例如基于胶质的手指)是刚性的,并且在感觉到传感区域的变化仅来自触觉接触而不来自手指的合规性。感应的软机器人手指需要能够将其整体本体感受的变化与触觉信息区分开。为此,本文介绍了Gelsight Fin Ray的新颖设计,该设计既体现了被动地适应其掌握的任何对象的能力,又体现了执行高分辨率触觉重建,对象方向估算以及剪切和扭转力的标记跟踪的能力。拥有这些功能可以使软机器人执行更多需要感应的操纵任务。手指能够成功执行的一项任务是厨房任务:酒杯的重新定位和放置,这很难使用外部视觉传感器,但具有触觉感测很容易。这种传感技术的开发也可以可能应用于其他符合柔软的握手,从而提高了它们在许多不同领域的生存能力。

To adapt to constantly changing environments and be safe for human interaction, robots should have compliant and soft characteristics as well as the ability to sense the world around them. Even so, the incorporation of tactile sensing into a soft compliant robot, like the Fin Ray finger, is difficult due to its deformable structure. Not only does the frame need to be modified to allow room for a vision sensor, which enables intricate tactile sensing, the robot must also retain its original mechanically compliant properties. However, adding high-resolution tactile sensors to soft fingers is difficult since many sensorized fingers, such as GelSight-based ones, are rigid and function under the assumption that changes in the sensing region are only from tactile contact and not from finger compliance. A sensorized soft robotic finger needs to be able to separate its overall proprioceptive changes from its tactile information. To this end, this paper introduces the novel design of a GelSight Fin Ray, which embodies both the ability to passively adapt to any object it grasps and the ability to perform high-resolution tactile reconstruction, object orientation estimation, and marker tracking for shear and torsional forces. Having these capabilities allow soft and compliant robots to perform more manipulation tasks that require sensing. One such task the finger is able to perform successfully is a kitchen task: wine glass reorientation and placement, which is difficult to do with external vision sensors but is easy with tactile sensing. The development of this sensing technology could also potentially be applied to other soft compliant grippers, increasing their viability in many different fields.

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