Skip to main content

Research Repository

Advanced Search

Real time control and fabrication of a soft robotic glove by two parallel sensors with MBD approach

Rakhtala, Seyed Mehdi; Ghayebi, Roozbeh

Authors

Roozbeh Ghayebi



Abstract

Soft robotic gloves were designed to aid the rehabilitation process with hand pathologies and coordination of gripping exercises. The main issue in soft robotic actuators is to design a control strategy to overcome deformation in grasping exercises. In this paper, a new soft robotic actuator is developed to be protected against swell and deformation. This soft robotic glove is equipped with two sensors; these sensors make the robotic glove more intelligent. In the hardware, it was used two sensors in the new closed-loop method which include an air pressure sensor in the figure tip and a flex sensor to measure finger flexion rate. Two closed-loop control system is developed to regulate inlet air pressure and regulate the angle of the fingers for the soft robotic actuator. A Model-Based Design (MBD) method is presented as a very cost-effective, favorable, and robust method. PID programming on an embedded controller is applied by MBD approach. The soft actuator process contains a molded wooden chamber and fiber reinforcement. Experimental results show that the proposed soft robotic has a soft gripping mechanism, accurate gripping against various objects during daily activities.

Citation

Rakhtala, S. M., & Ghayebi, R. (2022). Real time control and fabrication of a soft robotic glove by two parallel sensors with MBD approach. Medical Engineering and Physics, 100, Article 103743. https://doi.org/10.1016/j.medengphy.2021.103743

Journal Article Type Article
Acceptance Date Dec 16, 2021
Online Publication Date Dec 20, 2021
Publication Date Feb 28, 2022
Deposit Date Aug 15, 2023
Journal Medical Engineering and Physics
Print ISSN 1350-4533
Electronic ISSN 1873-4030
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 100
Article Number 103743
DOI https://doi.org/10.1016/j.medengphy.2021.103743
Public URL https://uwe-repository.worktribe.com/output/11001486