| In both the COVID-19 outbreak in early 2020 and other infectious diseases that have occurred around the world over the years,health care workers have been infected because of inadequate quarantine measures.The lack of medical supplies,the difficulty in dispatching personnel,the overwork of medical staff,and the great psychological and physiological stress may all contribute to the failure of medical staff isolation measures.How to make medical service intelligent and safe through modern technology is an important content and the only way of medical reform in Our country.According to the Robot Industry Development Plan issued by the State in 2016,after China has entered the era of artificial intelligence,the relevant medical policies and performance in the COVID-19 epidemic in 2020 show that there is still a great space for the application of intelligent devices in medical treatment.At present,the mainstream medical robots are mostly surgical robots,and they are mainly for patients.Robots for medical staff are rare,and the needs of medical staff cannot be met.This article aims to reduce accidental cross-infection of medical staff in hospitals or infectious disease epidemics,and designed a medical transportation robot that can transport non-human contact medical supplies in hospital isolation and non-isolation areas.Based on the driving function,the adaptive following algorithm when multiple robots meet is further studied.Firstly,the development background of robots is introduced,and the current domestic and foreign research status of medical robots as a service robot is emphasized.Secondly,the overall architecture of medical transportation robots is introduced,and the hardware part is given a design plan.,And completed the appearance design of the medical transportation robot’s conceptual drawing;then modeled and analyzed the functions of the ACC adaptive cruise system in the traditional automotive industry,and introduced the current different ACC algorithms and workflows in detail.The strategy framework for applying the adaptive cruise system to low-speed robots was established on the above.Then,for the cruise and following problems of medical robots when multiple robots meet,the motion model of a single robot was established,and the fish school effect theory was used as the theoretical basis.A new type of adaptive following system algorithm is designed,and mathematical modeling of the algorithm is carried out.The relevant data of the front robot is collected through sensors,and the expected speed of the robot and the expected distance between the robot and the front robot are obtained through the algorithm.The speed control component and acceleration control component are added to control the change range of speed and acceleration to make the transportation robot drive more stable;use MATLAB/Simulink simulation software to simulate and analyze common acceleration,uniform speed and other operating scenarios to verify the feasibility of the algorithm and analyze Among them,the advantages and disadvantages;finally,use the common smart car to conduct experiments to analyze and verify the robot’s longitudinal motion and adaptive follow-up algorithm.After data collection,the comparison with computer simulation verifies the practical applicability and feasibility of the design algorithm. |
