Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network
Inspired by living organisms and being the forefront of robotics evolution, the research in soft robotics has been growing exponentially. Due to the flexibility of these robots that is made from soft materials such as silicone or even a fabric allows them to manoeuvre on secluded environments throug...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Teknikal Malaysia Melaka
2021-06-01
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| Series: | International Journal of Electrical Engineering and Applied Sciences |
| Online Access: | https://ijeeas.utem.edu.my/ijeeas/article/view/6060 |
| _version_ | 1818321276940320768 |
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| author | Hari Prakash Thanabalan |
| author_facet | Hari Prakash Thanabalan |
| author_sort | Hari Prakash Thanabalan |
| collection | DOAJ |
| description | Inspired by living organisms and being the forefront of robotics evolution, the research in soft robotics has been growing exponentially. Due to the flexibility of these robots that is made from soft materials such as silicone or even a fabric allows them to manoeuvre on secluded environments through crevice openings which bring many advantages comparing to the rigid-component robots which proves much more delicate interaction with humans and environments. In this paper, modelling of the soft robot using finite element modelling will be discussed in conjunction with deep neural network for the bending and control of the end effector. |
| first_indexed | 2024-12-13T10:38:20Z |
| format | Article |
| id | doaj.art-8eb34ca789464bb6afe3a57017aaef47 |
| institution | Directory Open Access Journal |
| issn | 2600-7495 2600-9633 |
| language | English |
| last_indexed | 2024-12-13T10:38:20Z |
| publishDate | 2021-06-01 |
| publisher | Penerbit Universiti Teknikal Malaysia Melaka |
| record_format | Article |
| series | International Journal of Electrical Engineering and Applied Sciences |
| spelling | doaj.art-8eb34ca789464bb6afe3a57017aaef472022-12-21T23:50:39ZengPenerbit Universiti Teknikal Malaysia MelakaInternational Journal of Electrical Engineering and Applied Sciences2600-74952600-96332021-06-0141Learning Soft Robot and Soft Actuator Dynamics using Deep Neural NetworkHari Prakash Thanabalan0School of Engineering and Material Science, Queen Mary University of LondonInspired by living organisms and being the forefront of robotics evolution, the research in soft robotics has been growing exponentially. Due to the flexibility of these robots that is made from soft materials such as silicone or even a fabric allows them to manoeuvre on secluded environments through crevice openings which bring many advantages comparing to the rigid-component robots which proves much more delicate interaction with humans and environments. In this paper, modelling of the soft robot using finite element modelling will be discussed in conjunction with deep neural network for the bending and control of the end effector.https://ijeeas.utem.edu.my/ijeeas/article/view/6060 |
| spellingShingle | Hari Prakash Thanabalan Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network International Journal of Electrical Engineering and Applied Sciences |
| title | Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network |
| title_full | Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network |
| title_fullStr | Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network |
| title_full_unstemmed | Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network |
| title_short | Learning Soft Robot and Soft Actuator Dynamics using Deep Neural Network |
| title_sort | learning soft robot and soft actuator dynamics using deep neural network |
| url | https://ijeeas.utem.edu.my/ijeeas/article/view/6060 |
| work_keys_str_mv | AT hariprakashthanabalan learningsoftrobotandsoftactuatordynamicsusingdeepneuralnetwork |