Author: Turnip, A.; Tampubolon, G. M.; Ramadhan, S. F.; Nugraha, A. V.; Trisanto, A.; Novita, D.
Title: Development of Medical Robot Covid-19 based 2D mapping LIDAR and IMU Sensors Cord-id: pbp5z2mv Document date: 2021_1_1
ID: pbp5z2mv
Snippet: Along with the increasing number of cases exposed to COVID-19 in the world, the limitations of personal protective equipment (PPE) for health workers and patient companions are increasingly being discussed. The PPE is not only needed by officers who directly interact with patients but also by officers at every medical service for people without symptoms. In this study, an operator-free intelligent robot system was built for medical services in order to reduce the use of personal protective equip
Document: Along with the increasing number of cases exposed to COVID-19 in the world, the limitations of personal protective equipment (PPE) for health workers and patient companions are increasingly being discussed. The PPE is not only needed by officers who directly interact with patients but also by officers at every medical service for people without symptoms. In this study, an operator-free intelligent robot system was built for medical services in order to reduce the use of personal protective equipment in health care facilities. The Robotic systems were equipped with data acquisition, signal and image processing, vision systems, mapping, localization, and intelligence control. Information about the surrounding environment is stored in assistive intelligence memory as part of the learning process to increase the mobility and flexibility of the robot and allow it to be used to increase the level of awareness of the surrounding environment. The integrated technology hereinafter is called Medical Robot-Controlled Intelligent Assistive Technology (MR-IAT) which means an assisted intelligence system that is automatically controlled and auto-drives by using information from the user and the surrounding environment. © 2021 IEEE.
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