Controlling Underwater Robots with Electronic Nervous Systems
We are developing robot controllers based on biomimetic design principles. The goal is to realise the adaptive capabilities of the animal models in natural environments. We report feasibility studies of a hybrid architecture that instantiates a command and coordinating level with computed discrete-t...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1080/11762320903244843 |
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| author | Joseph Ayers Nikolai Rulkov Dan Knudsen Yong-Bin Kim Alexander Volkovskii Allen Selverston |
| author_facet | Joseph Ayers Nikolai Rulkov Dan Knudsen Yong-Bin Kim Alexander Volkovskii Allen Selverston |
| author_sort | Joseph Ayers |
| collection | DOAJ |
| description | We are developing robot controllers based on biomimetic design principles. The goal is to realise the adaptive capabilities of the animal models in natural environments. We report feasibility studies of a hybrid architecture that instantiates a command and coordinating level with computed discrete-time map-based (DTM) neuronal networks and the central pattern generators with analogue VLSI (Very Large Scale Integration) electronic neuron (aVLSI) networks. DTM networks are realised using neurons based on a 1-D or 2-D Map with two additional parameters that define silent, spiking and bursting regimes. Electronic neurons (ENs) based on Hindmarsh–Rose (HR) dynamics can be instantiated in analogue VLSI and exhibit similar behaviour to those based on discrete components. We have constructed locomotor central pattern generators (CPGs) with aVLSI networks that can be modulated to select different behaviours on the basis of selective command input. The two technologies can be fused by interfacing the signals from the DTM circuits directly to the aVLSI CPGs. Using DTMs, we have been able to simulate complex sensory fusion for rheotaxic behaviour based on both hydrodynamic and optical flow senses. We will illustrate aspects of controllers for ambulatory biomimetic robots. These studies indicate that it is feasible to fabricate an electronic nervous system controller integrating both aVLSI CPGs and layered DTM exteroceptive reflexes. |
| format | Article |
| id | doaj-art-85f6e6b00bc14903936dcb2f52241082 |
| institution | Kabale University |
| issn | 1176-2322 1754-2103 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-85f6e6b00bc14903936dcb2f522410822025-02-03T01:26:38ZengWileyApplied Bionics and Biomechanics1176-23221754-21032010-01-0171576710.1080/11762320903244843Controlling Underwater Robots with Electronic Nervous SystemsJoseph Ayers0Nikolai Rulkov1Dan Knudsen2Yong-Bin Kim3Alexander Volkovskii4Allen Selverston5Department of Biology and Marine Science Center, Northeastern University, East Point, Nahant, MA 01908, USAInformation Systems Laboratories, Inc., 10070 Barnes Canyon Road, San Diego CA 92121, USAMarine Science Center, Northeastern University, East Point, Nahant, MA 01908, USADepartment of Electrical and Computer Engineering, Northeastern University, 360 Huntington Ave. Boston, MA 02115, USAInstitute for Nonlinear Science-0402, UCSD, La Jolla, CA 92093-0402, USAInstitute for Nonlinear Science-0402, UCSD, La Jolla, CA 92093-0402, USAWe are developing robot controllers based on biomimetic design principles. The goal is to realise the adaptive capabilities of the animal models in natural environments. We report feasibility studies of a hybrid architecture that instantiates a command and coordinating level with computed discrete-time map-based (DTM) neuronal networks and the central pattern generators with analogue VLSI (Very Large Scale Integration) electronic neuron (aVLSI) networks. DTM networks are realised using neurons based on a 1-D or 2-D Map with two additional parameters that define silent, spiking and bursting regimes. Electronic neurons (ENs) based on Hindmarsh–Rose (HR) dynamics can be instantiated in analogue VLSI and exhibit similar behaviour to those based on discrete components. We have constructed locomotor central pattern generators (CPGs) with aVLSI networks that can be modulated to select different behaviours on the basis of selective command input. The two technologies can be fused by interfacing the signals from the DTM circuits directly to the aVLSI CPGs. Using DTMs, we have been able to simulate complex sensory fusion for rheotaxic behaviour based on both hydrodynamic and optical flow senses. We will illustrate aspects of controllers for ambulatory biomimetic robots. These studies indicate that it is feasible to fabricate an electronic nervous system controller integrating both aVLSI CPGs and layered DTM exteroceptive reflexes.http://dx.doi.org/10.1080/11762320903244843 |
| spellingShingle | Joseph Ayers Nikolai Rulkov Dan Knudsen Yong-Bin Kim Alexander Volkovskii Allen Selverston Controlling Underwater Robots with Electronic Nervous Systems Applied Bionics and Biomechanics |
| title | Controlling Underwater Robots with Electronic Nervous Systems |
| title_full | Controlling Underwater Robots with Electronic Nervous Systems |
| title_fullStr | Controlling Underwater Robots with Electronic Nervous Systems |
| title_full_unstemmed | Controlling Underwater Robots with Electronic Nervous Systems |
| title_short | Controlling Underwater Robots with Electronic Nervous Systems |
| title_sort | controlling underwater robots with electronic nervous systems |
| url | http://dx.doi.org/10.1080/11762320903244843 |
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