Pawan Kadam, Pratik Padalkar, Aniket B Mohite, Shantanu Mirajgave, Santwana S. Gudadhe
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引用次数: 1
摘要
多年来,由于对协作和交互式机器人的需求,机器人行业在制造业中取得了显着增长。但在服务业,尤其是医疗保健行业,情况并非如此。缺乏对医疗保健的重视,这导致了开发辅助机器人的新机会,这些机器人可以帮助残疾和疾病患者。此外,新型冠状病毒感染症(COVID-19)为克服病毒和细菌带来的困难,推动了医疗保健领域辅助机器人的发展。本文利用机器人操作系统(ROS)对多用途医疗辅助机器人进行仿真。该智能机器人在ROS环境下进行了成功的仿真和可视化。为了实现实时自主运动,使用Google Cartographer SLAM(Simultaneous Localization And Mapping)生成未知环境的实时地图。它通常侧重于这些机器人如何为医疗保健环境的不同部门的卫生工作者、客户和组织提供帮助。
An Autonomous Assistance Robot for Multi-Purpose Medical Applications Using ROS
Over the years, the robotic industry has made significant growth in the manufacturing sector due to the need for collaborative and interactive robots. But it is not the case for service sectors, especially in the healthcare sector. A lack of emphasis is given to healthcare which has led to new opportunities for developing assistive robots which can aid patients with disabilities and illnesses. Furthermore, COVID-19 has acted as a catalyst for the development of assistive robots in the healthcare sector in an attempt to overcome the difficulties faced due to viruses and bacteria. This paper demonstrates the simulation of a multi-purpose medical assistive robot using ROS(Robot Operating System). This intelligent robot is successfully simulated and visualized in the ROS environment. To achieve real-time autonomous motion Google Cartographer SLAM(Simultaneous Localization And Mapping) is used to generate real-time maps of unknown environments. It usually focuses on how these robots can provide assistance to health workers, customers, and organizations in different sectors of the healthcare environment.