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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2024
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الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/101339/1/101339.pdf https://ir.uitm.edu.my/id/eprint/101339/ |
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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 |
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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 |
13.250246 |