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nursing artificial intelligence and robotic assistance

  • Unique Paper ID: 151661
  • Volume: 8
  • Issue: 1
  • PageNo: 469-472
  • Abstract:
  • The evolution of technology and sophistication in the field of robotics and automation system has restructured every field of life. Machines that offer greater efficiency combined with the precision of robotic system are minimizing human involvement in dangerous tasks and eliminating the limitations that bind the human body shape built to resemble that of human body. A design of NAIRA is not only for functional purpose, such as the study of Omni wheel mechanism for locomotion. Locomotion of semi-humanoid robot with lee number of actuators is a choice of interest as it leads to energy efficient design. The autonomous humanoid robot is programmed for autonomous operation and employs feedback loops to the controller which ensures proper operation. These robots do not require any human assistance once programmed. This paper presents a robot system for healthcare facility environments. Current healthcare robot systems do not address healthcare workflows well and our goal is to provide distributed, heterogeneous multiple robot systems that are capable of integrating with healthcare workflows and are easy to modify when workflow requirements change. The proposed system consists of three subsystems: A Receptionist robot system, a nurse assistant robot system, and a medical server. The roles of the receptionist robot and the nurse assistant robot are to do tasks to help the human receptionist and nurse. The healthcare robots upload and download patient information through the medical server and provide data summaries to human care givers via a web interface. We developed these healthcare robot systems based on our new robotic software framework, which is designed to easily integrate different programming frameworks, and minimize the impact of framework differences and new versions. We test the functionalities of each healthcare robot system, evaluate the robot-robot collaboration, and present a case study.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 1
  • PageNo: 469-472

nursing artificial intelligence and robotic assistance

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