Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions

Mazzeo, Angela, Aguzzi, Jacopo, Calisti, Marcello , Canese, Simonpietro, Angiolillo, Michela, Allcock, Louise, Vecchi, Fabrizio, Stefanni, Sergio and Controzzi, Marco (2022) Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions. Sensors, 22 (1471). ISSN 1424-822

Full content URL: https://doi.org/10.3390/s22041471

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Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions
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Abstract

In order to develop a gripping system or control strategy that improves scientific sampling procedures, knowledge of the process and the consequent definition of requirements is fundamental. Nevertheless, factors influencing sampling procedures have not been extensively described, and selected strategies mostly depend on pilots’ and researchers’ experience. We interviewed 17 researchers and remotely operated vehicle (ROV) technical operators, through a formal questionnaire or in-person interviews, to collect evidence of sampling procedures based on their direct field experience. We methodologically analyzed sampling procedures to extract single basic actions (called atomic manipulations). Available equipment, environment and species-specific features strongly influenced the manipulative choices. We identified a list of functional and technical requirements for the development of novel end-effectors for marine sampling. Our results indicate that the unstructured and highly variable deep-sea environment requires a versatile system, capable of robust interactions with hard surfaces such as pushing or scraping, precise tuning of gripping force for tasks such as pulling delicate organisms away from hard and soft substrates, and rigid holding, as well as a mechanism for rapidly switching among external tools.

Keywords:Underwater gripper, ROV gripper, underwater manipulation, underwater end-effector, robotic underwater hands, marine biological sampling, taxonomy of actions
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:52103
Deposited On:21 Oct 2022 10:17

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