工作区
夹持器
执行机构
运动学
软机器人
有效载荷(计算)
抓住
计算机科学
工程类
控制重构
控制工程
机械工程
机器人
人工智能
嵌入式系统
网络数据包
物理
经典力学
程序设计语言
计算机网络
作者
Snehal Jain,Saikrishna Dontu,Joanne Ee Mei Teoh,Pablo Valdivia y Alvarado
出处
期刊:Soft robotics
[Mary Ann Liebert, Inc.]
日期:2022-11-08
卷期号:10 (3): 527-544
被引量:42
标识
DOI:10.1089/soro.2021.0225
摘要
A new generation of soft functional materials and actuator designs has ushered the development of highly advanced soft grippers as adaptive alternatives to traditional rigid end-effectors for grasping and manipulation applications. While being advantageous over their rigid counterparts, soft gripper capabilities such as contact effort are mostly a consequence of the gripper workspace, which in turn is largely constrained by the gripper design. Moreover, soft grippers designed for highly specific grasping tasks such as scooping grains or wide payloads are usually limited in grasping other payload types or in their manipulation versatility. This article describes a reconfigurable workspace soft (RWS) gripper that exploits compliant structures and pneumatic actuators to reconfigure its workspace to suit a wide range of grasping tasks. To achieve desired kinematics, finite element analysis (FEA) studies are conducted to dictate actuator design and materials used. Various grasping modes and their reconfiguration of the gripper workspace are presented and characterized, including the gripper's capability to reliably scoop granular items with radii as small as 1.5 mm, precisely pick items as thin as 300 μm from flat surfaces, as well as grasp large convex, nonconvex, and deformable items as heavy as 1.4 kg. The RWS gripper can modify and increase its grasping workspace volume by 397%, enabling the widest range of grasping capabilities to date achieved by a single soft gripper.
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