IoRT-in-hand software.

dc.contributor.authorBravo-Arrabal, Juan
dc.contributor.authorCheng, Zhuoqi
dc.contributor.authorFernández-Lozano, Juan Jesús
dc.contributor.authorGómez-Ruiz, José Antonio
dc.contributor.authorSchlette, Christian
dc.contributor.authorSavarimuthu, Thisius Rajeeth
dc.contributor.authorMandow, Anthony
dc.contributor.authorGarcía-Cerezo, Alfonso José
dc.date.accessioned2025-09-09T12:44:21Z
dc.date.available2025-09-09T12:44:21Z
dc.date.issued2025-08-11
dc.departamentoIngeniería de Sistemas y Automáticaes_ES
dc.description.abstractThe integration of robotics and mobile networks (5G/6G) through the Internet of Robotic Things (IoRT) is revolutionizing telemedicine, enabling remote physician participation in scenarios where specialists are scarce, where there is a high risk to them, such as in conflicts or natural disasters, or where access to a medical facility is not possible. Nevertheless, touching a human safely with a robotic arm in non-engineered or even out-of-hospital environments presents substantial challenges. This article presents a novel IoRT approach for healthcare in or from remote areas, enabling interaction between a specialist’s hand and a robotic hand. We introduce the IoRT-in-hand: a smart, lightweight end-effector that extends the specialist’s hand, integrating a medical instrument, an RGB camera with servos, a force/torque sensor, and a mini-PC with Internet connectivity. Additionally, we propose an open-source Android app combining MQTT and ROS for real-time remote manipulation, alongside an Edge–Cloud architecture that links the physical robot with its Digital Twin (DT), enabling precise control and 3D visual feedback of the robot’s environment. A proof of concept is presented for the proposed tele-robotic system, using a 6-DOF manipulator with the IoRT-in-hand to perform an ultrasound scan. Teleoperation was conducted over 2300 km via a 5G NSA network on the operator side and a wired network in a laboratory on the robot side. Performance was assessed through human subject feedback, sensory data, and latency measurements, demonstrating the system’s potential for remote healthcare and emergency applications.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/39814
dc.language.isoenges_ES
dc.publication.year2025
dc.publisherUniversidad de Málagaes_ES
dc.relation.isreferencedbyBravo-Arrabal, J., Cheng, Z., Fernández-Lozano, J. J., Gomez-Ruiz, J. A., Schlette, C., Savarimuthu, T. R., Mandow, A., & García-Cerezo, A. (2025). The IoRT-in-Hand: Tele-Robotic Echography and Digital Twins on Mobile Devices. Sensors, 25(16), 4972. https://doi.org/10.3390/s25164972es_ES
dc.relation.isreferencedbyhttps://hdl.handle.net/10630/39813es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Ministerio de Ciencia e Innovación/Proyectos de Generación del Conocimiento 2021/PID2021-122944OB-I00/ES//SAR4.0es_ES
dc.rightsAttribution 4.0 Internacional
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectInformática en la nubees_ES
dc.subjectInternet de los objetoses_ES
dc.subjectRobóticaes_ES
dc.subjectMedicina - Material y equipoes_ES
dc.subjectIngeniería biomédicaes_ES
dc.subjectSimulación por ordenadores_ES
dc.subject.otherAndroides_ES
dc.subject.otherCloud roboticses_ES
dc.subject.otherDigital Twinses_ES
dc.subject.otherMedical instrumentses_ES
dc.subject.otherTele-operationes_ES
dc.titleIoRT-in-hand software.es_ES
dc.typesoftwarees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationd12f4139-1d9c-4a85-bf5f-22542c83f2e9
relation.isAuthorOfPublication143621cc-fd1e-44a3-9ec2-c0870aa930e2
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relation.isAuthorOfPublication111d26c1-efd3-4b8a-a05b-420a796580e0
relation.isAuthorOfPublication.latestForDiscoveryd12f4139-1d9c-4a85-bf5f-22542c83f2e9

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