Shaping the future of surgical assistance with IoT Robotics: Bot Nurse 1.0

dc.contributor.authorWeerarathna, S
dc.contributor.authorWijerathna, S
dc.contributor.authorMendis, K
dc.contributor.authorGopura, R
dc.contributor.authorRanaweera, P
dc.contributor.authorSamarasekara, N
dc.date.accessioned2026-05-06T07:27:21Z
dc.description.abstractNew Dawn in Surgical Treatment Surgical procedures are essential to healthcare and require high levels of precision, concentra¬tion, and stamina from medical personnel. Extended operations may result in fatigue and raise the risk of human error. The need for dependable assistive technologies is further highlighted by the global shortage of skilled surgical personnel. One crucial technological advancement intended to counteract these challenges is robotic assistance in surgical settings. Despite their advantages, contemporary robotic solutions can occasionally increase the cognitive load on surgeons by requiring them to use modified surgical instruments or remember specific gestures. Tackling these pivotal challenges holistically, Bot Nurse 1.0 unveils a novel methodol-ogy that fuses cutting-edge robotics, Internet of Things (IoT) technologies, speech recognition, and computer vision. This system markedly elevates surgeon-robot engagement by employing instinctive voice commands and accurate palm recognition, seeking to diminish operational intri-cacy, boost surgical efficiency, and reinforce safety outcomes, thus establishing a fresh standard in assistive surgical innovation.
dc.identifier.doihttps://doi.org/10.31705/BPRM.v5(2).2025.4
dc.identifier.issn2815-0082
dc.identifier.issue2
dc.identifier.journalBolgoda Plains Research Magazine
dc.identifier.pgnospp. 16-18
dc.identifier.urihttps://dl.lib.uom.lk/handle/123/25173
dc.identifier.volume5
dc.language.isoen
dc.publisherFaculty of Graduate Studies
dc.titleShaping the future of surgical assistance with IoT Robotics: Bot Nurse 1.0
dc.typeArticle-Full-text

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