Soft optical tactile sensors enable robots to manipulate deformable objects by capturing important features such as high-resolution contact geometry and estimations of object compliance. This work presents a variable stiffness soft tactile end-effector called StRETcH, a Soft to Resistive Elastic Tactile Hand, that is easily manufactured and integrated with a robotic arm. An elastic membrane is suspended between two robotic fingers, and a depth sensor capturing the deformations of the elastic membrane enables sub-millimeter accurate estimates of contact geometries. The parallel-jaw gripper varies the stiffness of the membrane by uni-axially stretching it, which controllably modulates StRETcH's effective modulus from approximately 4kPa to 9kPa. This work uses StRETcH to reconstruct the contact geometry of rigid and deformable objects, estimate the stiffness of four balloons filled with different substances, and manipulate dough into a desired shape.
翻译:软光学触摸传感器使机器人能够通过捕捉诸如高分辨率接触几何和物体合规性估计等重要特征来操纵变形物体。 这项工作展示了一个叫 StretzcH的可变僵硬软触动终效器, 叫做StretzcH, 软软触动末效器, 软软抗动手软软, 很容易制造, 并且与机器人臂结合。 一个弹性膜在两个机器人手指之间悬浮, 一个深度传感器, 捕捉弹性膜的变形, 能够精确估计接触的几何。 平行抓抓取器通过单轴伸展来改变膜的硬性, 将StretzhtcH的有效模量从大约4kPa到9kPa 。 这项工作利用 StretcH 来重建僵硬和变形物体的接触几何方法, 估计装有不同物质的4个气球的坚硬度, 并按理想的形状对面进行操纵。