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  4. SAUV-A Bio-Inspired Soft-Robotic Autonomous Underwater Vehicle
 
Verlagslink DOI
10.3389/fnbot.2020.00008

SAUV-A Bio-Inspired Soft-Robotic Autonomous Underwater Vehicle

Veröffentlichungsdatum
2020
Autoren
Plum, Fabian  
Labisch, Susanna  
Dirks, Jan-Henning  
Zusammenfassung
Autonomous and remotely operated underwater vehicles allow us to reach places which have previously been inaccessible and perform complex repair, exploration and analysis tasks. As their navigation is not infallible, they may cause severe damage to themselves and their often fragile surroundings, such as flooded caves, coral reefs, or even accompanying divers in case of a collision. In this study, we used a shallow neural network, consisting of interlinking PID controllers, and trained by a genetic algorithm, to control a biologically inspired AUV with a soft and compliant exoskeleton. Such a compliant structure is a versatile and passive solution which reduces the accelerations induced by collisions to 56% of the original mean value acting upon the system, thus, notably reducing the stress on its components and resulting reaction forces on its surroundings. The segmented structure of this spherical exoskeleton protects the encased system without limiting the use of cameras, sensors or manipulators.
Schlagwörter
cave diving

; 

compliant structure

; 

exoskeleton

; 

Genetic algorithm

; 

shock absorbability
Verlag
Frontiers Research Foundation
Institution
Hochschule Bremen  
Fachbereich
Hochschule Bremen - Fakultät 5: Natur und Technik  
Dokumenttyp
Artikel/Aufsatz
Zeitschrift/Sammelwerk
Frontiers in neurorobotics  
Band
14
Startseite
1
Endseite
13
Zweitveröffentlichung
Nein
Sprache
Englisch

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