Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces
Joint Authors
Zhang, Jianwei
Yu, Junzhi
Wang, Kai
Tan, Min
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Yu, Junzhi& Wang, Kai& Tan, Min& Zhang, Jianwei. 2014. Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050424
Modern Language Association (MLA)
Yu, Junzhi…[et al.]. Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050424
American Medical Association (AMA)
Yu, Junzhi& Wang, Kai& Tan, Min& Zhang, Jianwei. Design and Control of an Embedded Vision Guided Robotic Fish with Multiple Control Surfaces. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050424