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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Harnessing the dynamics of a soft body with "Timing": Octopus inspired control via recurrent neural networks |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-1-4577-1158-9 |
| Page Range | 277 - 284 |
| Event Title | 15th International Conference on Advanced Robotics (ICAR) |
| Event Type | conference |
| Event Location | Tallinn, Estonia |
| Event Start Date | June 20 - 2011 |
| Event End Date | June 23 - 2011 |
| Place of Publication | IEEE Xplore |
| Publisher | IEEE |
| Abstract Text | This study aims to explore a control architecture that enables the control of a soft and flexible octopus-like arm for an object reaching task. Inspired by the division of functionality between the central and peripheral nervous systems of a real octopus, we discuss that the important factor of the control is not to regulate the arm muscles one by one but rather to control them globally with appropriate timing, and we propose an architecture equipped with a recurrent neural network (RNN). By setting the task environment for the reaching behavior, and training the network with an incremental learning strategy, we evaluate whether the network is then able to achieve the reaching behavior or not. As a result, we show that the RNN can successfully achieve the reaching behavior, exploiting the physical dynamics of the arm due to the timing based control. |
| Related URLs | |
| Digital Object Identifier | 10.1109/ICAR.2011.6088590 |
| Other Identification Number | merlin-id:3684 |
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