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Título: | Marine Robotics for Deep-Sea Specimen Collection: A Systematic Review of Underwater Grippers |
Autor: | Mazzeo, Angela; Aguzzi, Jacopo CSIC ORCID ; Calisti, Marcello; Canese, Simonepietro; Vecchi, Fabrizio; Stefanni, Sergio; Controzzi, Marco | Palabras clave: | Underwater gripper ROV gripper Underwater manipulation Underwater end-effector Robotic underwater hands Marine biological sampling |
Fecha de publicación: | ene-2022 | Editor: | Multidisciplinary Digital Publishing Institute | Citación: | Sensors 22(2): 648 (2022) | Resumen: | The collection of delicate deep-sea specimens of biological interest with remotely operated vehicle (ROV) industrial grippers and tools is a long and expensive procedure. Industrial grippers were originally designed for heavy manipulation tasks, while sampling specimens requires dexterity and precision. We describe the grippers and tools commonly used in underwater sampling for scientific purposes, systematically review the state of the art of research in underwater gripping technologies, and identify design trends. We discuss the possibility of executing typical manipulations of sampling procedures with commonly used grippers and research prototypes. Our results indicate that commonly used grippers ensure that the basic actions either of gripping or caging are possible, and their functionality is extended by holding proper tools. Moreover, the approach of the research status seems to have changed its focus in recent years: from the demonstration of the validity of a specific technology (actuation, transmission, sensing) for marine applications, to the solution of specific needs of underwater manipulation. Finally, we summarize the environmental and operational requirements that should be considered in the design of an underwater gripper | Descripción: | 33 pages, 8 figures, 6 tables.-- Data Availability Statement: Data is contained within the articl | Versión del editor: | https://doi.org/10.3390/s22020648 | URI: | http://hdl.handle.net/10261/262306 | DOI: | 10.3390/s22020648 | E-ISSN: | 1424-8220 |
Aparece en las colecciones: | (ICM) Artículos |
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Mazzeo_et_al_2022.pdf | 4,39 MB | Adobe PDF | Visualizar/Abrir |
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