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

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 fi...

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Main Authors: Shauri, R. L. A., Sabri, M. A. A. M., Roslan, A. B.
Format: Article
Language:English
Published: UiTM Press 2024
Subjects:
Neural networks (Computer science)
Online Access:https://ir.uitm.edu.my/id/eprint/101339/1/101339.pdf
https://ir.uitm.edu.my/id/eprint/101339/
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spelling my.uitm.ir.1013392024-09-03T22:31:57Z https://ir.uitm.edu.my/id/eprint/101339/ Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan jmeche Shauri, R. L. A. Sabri, M. A. A. M. Roslan, A. B. Neural networks (Computer science) 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, UiTM Press 2024 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/101339/1/101339.pdf Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan. (2024) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29/>, 21 (3): 15. pp. 247-268. ISSN 1823-5514 ; 2550-164X
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Neural networks (Computer science)
spellingShingle Neural networks (Computer science)
Shauri, R. L. A.
Sabri, M. A. A. M.
Roslan, A. B.
Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
description 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,
format Article
author Shauri, R. L. A.
Sabri, M. A. A. M.
Roslan, A. B.
author_facet Shauri, R. L. A.
Sabri, M. A. A. M.
Roslan, A. B.
author_sort Shauri, R. L. A.
title Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
title_short Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
title_full Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
title_fullStr Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
title_full_unstemmed Position-based ANN impedance control for a three-fingered robot hand / R. L. A. Shauri, M. A. A. M. Sabri and A. B. Roslan
title_sort position-based ann impedance control for a three-fingered robot hand / r. l. a. shauri, m. a. a. m. sabri and a. b. roslan
publisher UiTM Press
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/101339/1/101339.pdf
https://ir.uitm.edu.my/id/eprint/101339/
_version_ 1811598205861756928
score 13.209306

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