Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces

This paper focuses on the development and control issues of a self-propelled robotic fish with multiple artificial control surfaces and an embedded vision system. By virtue of the hybrid propulsion capability in the body plus the caudal fin and the complementary maneuverability in accessory fins, a...

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Main Authors: Junzhi Yu, Kai Wang, Min Tan, Jianwei Zhang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/631296
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author Junzhi Yu
Kai Wang
Min Tan
Jianwei Zhang
author_facet Junzhi Yu
Kai Wang
Min Tan
Jianwei Zhang
author_sort Junzhi Yu
collection DOAJ
description This paper focuses on the development and control issues of a self-propelled robotic fish with multiple artificial control surfaces and an embedded vision system. By virtue of the hybrid propulsion capability in the body plus the caudal fin and the complementary maneuverability in accessory fins, a synthesized propulsion scheme including a caudal fin, a pair of pectoral fins, and a pelvic fin is proposed. To achieve flexible yet stable motions in aquatic environments, a central pattern generator- (CPG-) based control method is employed. Meanwhile, a monocular underwater vision serves as sensory feedback that modifies the control parameters. The integration of the CPG-based motion control and the visual processing in an embedded microcontroller allows the robotic fish to navigate online. Aquatic tests demonstrate the efficacy of the proposed mechatronic design and swimming control methods. Particularly, a pelvic fin actuated sideward swimming gait was first implemented. It is also found that the speeds and maneuverability of the robotic fish with coordinated control surfaces were largely superior to that of the swimming robot propelled by a single control surface.
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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
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record_format Article
series The Scientific World Journal
spelling doaj-art-8a18f81538694c05ba19416e3dfdc8e32025-02-03T06:04:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/631296631296Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control SurfacesJunzhi Yu0Kai Wang1Min Tan2Jianwei Zhang3State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaState Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaState Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaDepartment of Informatics, University of Hamburg, D-22527 Hamburg, GermanyThis paper focuses on the development and control issues of a self-propelled robotic fish with multiple artificial control surfaces and an embedded vision system. By virtue of the hybrid propulsion capability in the body plus the caudal fin and the complementary maneuverability in accessory fins, a synthesized propulsion scheme including a caudal fin, a pair of pectoral fins, and a pelvic fin is proposed. To achieve flexible yet stable motions in aquatic environments, a central pattern generator- (CPG-) based control method is employed. Meanwhile, a monocular underwater vision serves as sensory feedback that modifies the control parameters. The integration of the CPG-based motion control and the visual processing in an embedded microcontroller allows the robotic fish to navigate online. Aquatic tests demonstrate the efficacy of the proposed mechatronic design and swimming control methods. Particularly, a pelvic fin actuated sideward swimming gait was first implemented. It is also found that the speeds and maneuverability of the robotic fish with coordinated control surfaces were largely superior to that of the swimming robot propelled by a single control surface.http://dx.doi.org/10.1155/2014/631296
spellingShingle Junzhi Yu
Kai Wang
Min Tan
Jianwei Zhang
Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
The Scientific World Journal
title Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
title_full Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
title_fullStr Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
title_full_unstemmed Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
title_short Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
title_sort design and control of an embedded vision guided robotic fish with multiple control surfaces
url http://dx.doi.org/10.1155/2014/631296
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AT kaiwang designandcontrolofanembeddedvisionguidedroboticfishwithmultiplecontrolsurfaces
AT mintan designandcontrolofanembeddedvisionguidedroboticfishwithmultiplecontrolsurfaces
AT jianweizhang designandcontrolofanembeddedvisionguidedroboticfishwithmultiplecontrolsurfaces