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基于流体压力监测的机器人液性指尖灵巧抓取易碎物体策略。

Fluid Pressure Monitoring-Based Strategy for Delicate Grasping of Fragile Objects by A Robotic Hand with Fluid Fingertips.

机构信息

Graduated school of Natural science and Technology, Kanazawa University, Kanazawa 9201192, Japan.

Faculty of Frontier Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa 9201192, Japan.

出版信息

Sensors (Basel). 2019 Feb 14;19(4):782. doi: 10.3390/s19040782.

Abstract

In this study, we propose a strategy for delicately grasping fragile objects using a robotic gripper with highly deformable fluid fingertips. In an earlier study, we developed a soft fingertip, referred to as a fluid fingertip, which was fabricated from a deformable rubber bag filled with incompressible fluid. The proposed strategy detects the preferable grasping point where fracturing of the target object is avoided while the applied force or pressure from the fluid fingertip is substantially transmitted to the target. In this grasping point, the behavior of the fluid pressure changes with respect to the pushing distance when pushing at a constant speed. The other features of the strategy determining the grasping point are as follows: (1) the threshold for the detection of the grasping point is fixed or constant with respect to the type of target object; (2) information regarding the deformation and stiffness of the fingertips and target object is not required. The detection of the grasping point through behavioral changes in the pressure is performed by comparing the fitting accuracies of fitting models utilizing information of the fluid pressure and pushing distance. The validity of the proposed approach is verified through several experiments.

摘要

在这项研究中,我们提出了一种使用具有高度可变形流体指尖的机器人夹具来巧妙抓取易碎物体的策略。在早期的研究中,我们开发了一种软指尖,称为流体指尖,它是由充满不可压缩流体的可变形橡胶袋制成的。所提出的策略检测到优选的抓取点,在该抓取点处,避免了目标物体的破裂,同时从流体指尖施加的力或压力被实质性地传递到目标。在这个抓取点,当以恒定速度推动时,流体压力随推动距离的变化而变化。确定抓取点的其他策略特征如下:(1) 抓取点的检测阈值相对于目标物体的类型是固定或不变的;(2) 不需要指尖和目标物体的变形和刚度信息。通过比较利用流体压力和推动距离信息的拟合模型的拟合精度来执行通过压力行为变化进行的抓取点检测。通过几个实验验证了所提出方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64e2/6412748/39e36bb8c721/sensors-19-00782-g002.jpg

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