Skip navigation

Innovative development of a soft robotic gripper: mathematical modeling and grasping capability analysis

Innovative development of a soft robotic gripper: mathematical modeling and grasping capability analysis

Trinh, Xuan Hiep, Chu, Anh My, Phung, Van Binh and Le, Chi Hieu ORCID: 0000-0002-5168-2297 (2023) Innovative development of a soft robotic gripper: mathematical modeling and grasping capability analysis. Mechanics Based Design of Structures and Machines, An International Journal. pp. 1-28. ISSN 1539-7734 (Print), 1539-7742 (Online) (doi:https://doi.org/10.1080/15397734.2023.2242919)

[img]
Preview
PDF (AAM)
43689_LE_Innovative_development_of_a_soft_robotic_gripper_Mathematical_modeling.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract

Recently, most soft grippers rely on complex mechanisms or complicated structures, leading to challenging fabrication and mathematical modeling. This study presents an innovative soft-fingered gripper design with an asymmetric tube that has a variable cross-section, providing a simple yet effective solution for gripping tasks. The proposed mathematical modeling and solutions were successfully developed and experimentally validated to analyze the effects of the robot arm’s motion on the gripping capability of the gripper. This innovation represents an improvement over existing designs and has the potential to enhance the design and efficient performance of soft robotic grippers.

Item Type: Article
Additional Information: This work was supported by the Vingroup Innovation Foundation (VINIF) annual research support program under the grant number VINIF.2019.DA08.
Uncontrolled Keywords: soft robotic gripper; mathematical modeling; robotic simulations; robotic dynamics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified: 10 Aug 2024 01:38
URI: http://gala.gre.ac.uk/id/eprint/43689

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics