夹持器
抓住
软机器人
微观结构
计算机科学
机器人
机械工程
接触力
软质材料
可扩展性
人工智能
有限元法
表面光洁度
模拟
表面粗糙度
计算机视觉
工程类
仿生学
光学(聚焦)
压力(语言学)
材料科学
结构工程
接头(建筑物)
方向(向量空间)
侵入性外科
曲面(拓扑)
接触面积
机械臂
作者
Wenbiao Wang,Yan Lin,Jinyuan Xu,Pinghu Chen,Guanjun Bao
标识
DOI:10.1177/21695172251401339
摘要
Soft robot hands perform adaptive grasping stability by flexibly conforming to target geometries without damaging the target. While most improvements focus on macro-scale structural optimization, surface microstructures will also play a crucial role in grasp performance. Inspired by the filiform papillae (FP) on feline tongues, which are barbed structures characterized by high density and moderate deformability that facilitate secure contacting, a feline tongue-inspired filiform microstructure (FTFM) is proposed and integrated into soft robotic fingertips to achieve high grasping ability. By analyzing the morphology and spatial arrangement of FPs, we designed two layout strategies: arc-shaped and cross-shaped arrays. Finite element simulations in Abaqus revealed that the arc arrangement stores 20-25% more elastic strain energy and exhibits more uniform stress distribution, indicating superior elastic adaptability. Grasping experiments under dry contact conditions further validated the effectiveness of FTFM. Compared to conventional smooth-surfaced soft robotic hand (SRH), the developed FTFM-enhanced fingertips improved grasping force by 20-35% as the surface roughness of the object decreased. These results demonstrate that FTFM significantly improves contact friction and adaptive conformity by increasing the number of effective contact points and local deformation. This study provides a novel and scalable strategy for enhancing the performance of soft robotic grippers through bioinspired microstructure design.
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