Back to Search Start Over

A Soft Enveloping Gripper with Enhanced Grasping Ability via Morphological Adaptability

Authors :
Yufei Hao
Zhongkui Wang
Yuzhao Zhou
Weitai Zhou
Tengfei Cai
Jianhua Zhang
Fuchun Sun
Source :
Advanced Intelligent Systems, Vol 5, Iss 6, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Hitherto, automated grasping with robotic grippers requires adjusting the posture and force of the fingers based on the size, geometry, stiffness, and pose of the objects. To provide a simpler but efficient grasping methodology, a soft enveloping gripper is presented and investigated how its morphological adaptability improves the grasping ability by comparing its performance with fingered grippers. Results show that this enveloping gripper can omnidirectionally envelop objects via active–passive interaction, which allows the gripper to 100% grasp the object located at different positions within range and keep their orientations. However, the grasping success rate and orientation error of the fingered grippers highly depend on the relative position and angle of the objects to the grippers, as well as the number of fingers. The dynamic vibration and decay time of the enveloping gripper when grasping a 500 g weight are, both, approximately one‐sixth of those of the two‐fingered gripper when grasping a 12.37 g cube. This enveloping gripper can automatically grasp objects (including deformable ones) lying in different poses without posture estimation and force control with a simple vision‐based automatic grasping method. The enveloping grasping method may open an avenue for simple, low cost yet powerful automatic grasping applications.

Details

Language :
English
ISSN :
26404567
Volume :
5
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Advanced Intelligent Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.b90716e936cc4d60a8d386dabeb6407c
Document Type :
article
Full Text :
https://doi.org/10.1002/aisy.202200456