Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan

Shauri, R. L. A. and Sabri, M. A. A. M. and Roslan, A. B. (2024) Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan. Journal of Mechanical Engineering (JMechE), 21 (3): 15. pp. 247-268. ISSN 1823-5514 ; 2550-164X

Abstract

A feedforward ANN was previously developed for recognition of two objects i.e. a spongy ball and a plastic bottle but was verified through simulation only. In this work, the feasibility of the ANN model is tested by applying it to the robot’s impedance control which takes the exerted force at the finger as input while resulting in an output for the selection rule of the impedance stiffness parameter,

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Shauri, R. L. A.
ruhizan@uitm.edu.my
Sabri, M. A. A. M.
UNSPECIFIED
Roslan, A. B.
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
Divisions: Universiti Teknologi MARA, Shah Alam > College of Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 1823-5514 ; 2550-164X
Volume: 21
Number: 3
Page Range: pp. 247-268
Keywords: Artificial Neural Network; Object Recognition; Impedance Control
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/101339
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