Abstract
Although telemedicine is still practiced today, high-speed connections and improved organizational capability have enabled remote operation of medical equipment, known as telerobotic surgery. The technologies have a number of benefits, including enhanced performance and the ability to reach complex operations to geographically isolated places where trained surgeons are unavailable. This study proposed an early robotic solution for limited teleoperation tasks in a complex and unpredictable environment. So, the research is inspired by future human-robot collaboration. It focuses on limiting or preventing accidents between the robot and its environment. In order to enable access to robotic surgery equipment in a confined area, a fuzzy control method is used. We may infer that an adaptive robotic system capable of accomplishing limited tasks while also responding to external factors in an unpredictable and dynamic environment is potentially feasible.
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