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Cited by 412

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Trends in Biorobotic Autonomous Undersea Vehicles

Bandyopadhyay, P.R.·2005·IEEE Journal of Oceanic Engineering

Abstract

The emergence of biorobotic autonomous undersea vehicle (AUV) as a focus for discipline-integrated research in the context of underwater propulsion and maneuvering is considered within the confines of the Biorobotics Program in the Office of Naval Research. The significant advances in three disciplines, namely the biology-inspired high-lift unsteady hydrodynamics, artificial muscle technology and neuroscience-based control, are discussed in an effort to integrate them into viable products. The understanding of the mechanisms of delayed stall, molecular design of artificial muscles and the neural approaches to the actuation of control surfaces is reviewed in the context of devices based on the pectoral fins of fish, while remaining focused on their integrated implementation in biorobotic AUVs. A mechanistic understanding of the balance between cruising and maneuvering in swimming animals and undersea vehicles is given. All aquatic platforms, in both nature and engineering, except during short duration burst speeds that are observed in a few species, appear to lie within the condition where their natural period of oscillation equals the time taken by them to travel the distance of their own lengths. Progress in the development of small underwater experimental biorobotic vehicles is considered where the three aforementioned disciplines are integrated into one novel maneuvering device or propulsor. The potential in maneuvering and silencing is discussed.

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Metadata

Authors
Bandyopadhyay, P. R.
Venue
IEEE Journal of Oceanic Engineering
Published
2005-01
Volume
30
Issue
1
Pages
109-139
ISSN
0364-9059 (ISSN-L)
OpenAlex
W2113589188
Cited by
412
References
1
FWCI
57.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Trends in Biorobotic Autonomous Undersea Vehicles. https://app.cochat.ai/papers/10.1109/joe.2005.843748
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Bandyopadhyay, P. R. (2005). Trends in Biorobotic Autonomous Undersea Vehicles. IEEE Journal of Oceanic Engineering. https://doi.org/10.1109/joe.2005.843748

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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