ABSTRACT
The global hospital's capacity can gradually decline, especially after the outbreak of the COVID-19, and thus traditional medical methods can no longer bear a large number of patients. At present, most hospitals rely on doctors and nursing staff to diagnose and treat patients. This not only increases the burden on doctors and nursing staff but also greatly reduces the burden on health care quality. In order to obtain better health care quality, automation is one of the important factors in solving medical quality problems. We are conducting automated introduction research for the ultrasonic scanner. Robotic arms are used to replace doctors for consultations by adding jelly and injection buttons to the robotic arm. In terms of the contact between the end of the robotic arm and the human body, we introduced the force sensor and the depth camera into the robotic arm. With the force sensor and the depth camera feedback data, we perceive the feedback of the ultrasonic scanner and the human body contact force. The results show that our design can greatly increase the amount of hospital's capacity and reduce the burden on doctors. © 2021 IEEE.
ABSTRACT
At present, COVID-19 still affects the world. In order to avoid contact among people, we build site simulation maps for specific areas of the region and introduce mobile robots. In the hospital, it is possible to simulate the route between the corridor and the ward, and use mobile robots to complete specific location guidance and regional patrols, replacing medical manpower. With our proposed system, the user can reach the desired destination through the voice guidance of the robot without the assistance of medical staff. When the user is in danger, the robot can provide a video phone to complete the emergency contact, so that the staff can remotely control the robot to assist the user. We add automatic patrol and detection to the robot's travel route. When the robot finds suspicious objects in the process of moving, the system immediately returns to the alarm guard. The results show that mobile robots can effectively reduce manpower and avoid contact between people. © 2021 IEEE.