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Manipulation Tasks in Hazardous Environments Using a Teleoperated Robot: A Case Study at CERN.
Gentile, Cosimo; Lunghi, Giacomo; Buonocore, Luca Rosario; Cordella, Francesca; Di Castro, Mario; Masi, Alessandro; Zollo, Loredana.
Afiliação
  • Gentile C; Centro Protesi Inail, Vigorso di Budrio, 40054 Bologna, Italy.
  • Lunghi G; Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
  • Buonocore LR; Survey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.
  • Cordella F; Survey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.
  • Di Castro M; Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
  • Masi A; Survey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.
  • Zollo L; Survey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.
Sensors (Basel) ; 23(4)2023 Feb 10.
Article em En | MEDLINE | ID: mdl-36850591
ABSTRACT
Remote robotic systems are employed in the CERN accelerator complex to perform different tasks, such as the safe handling of cables and their connectors. Without dedicated control, these kinds of actions are difficult and require the operators' intervention, which is subjected to dangerous external agents. In this paper, two novel modules of the CERNTAURO framework are presented to provide a safe and usable solution for managing optical fibres and their connectors. The first module is used to detect touch and slippage, while the second one is used to regulate the grasping force and contrast slippage. The force reference was obtained with a combination of object recognition and a look-up table method. The proposed strategy was validated with tests in the CERN laboratory, and the preliminary experimental results demonstrated statistically significant increases in time-based efficiency and in the overall relative efficiency of the tasks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália