Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-55681
Nakajima, Kohei; Li, Tao; Kuppuswamy, Naveen Suresh; Pfeifer, Rolf (2011). Harnessing the dynamics of a soft body with "Timing": Octopus inspired control via recurrent neural networks. In: 15th International Conference on Advanced Robotics (ICAR), Tallinn, Estonia, 20 June 2011 - 23 June 2011, 277-284.
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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.
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|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||03 Faculty of Economics > Department of Informatics|
|Dewey Decimal Classification:||000 Computer science, knowledge & systems|
|Event End Date:||23 June 2011|
|Deposited On:||13 Feb 2012 11:30|
|Last Modified:||05 Apr 2016 15:24|
|Other Identification Number:||merlin-id:3684|
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