Design and Implementation of Automated Cart for COVID-19 Patients Treatment



Abstract Views
286

Downloads
343

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Mar 21, 2021
Published Sep 11, 2021
10.24018/compute.2021.1.4.13

Abstract viewed = 286 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

With the recent changes in this world due to the pandemic of COVID-19 came the need to change in technology with medical environments. There were few robotic surgeries done in medical field, but the pandemic has put the Doctors and health care workers at risk. So there came a need for rapid change in medical environment to replace man with robots with the help of AI. In this paper a AGV also called as Automatic Guided Vehicle is designed for the benefit of health community. It can also be called as Automated Cart.

The chances of health care worker getting affected from the patient in this COVID-19 is more due to the behavior of the novel Corona Virus Spread. Hence this Automated cart is designed in this paper which moves near the patient’s beds delivering medicines whenever needed in time and also collects waste from patients’ bed and returns to the necessary point. It is a line follower automated cart robot it makes use of certain sensors like infrared sensors and ultrasonic sensors. These sensors are used for route mapping and obstacle detection. This robot at the time of giving medicine to the patients’ bed and collecting waste, it also checks the body temperature and pulse rate of the patient and sends information to the doctor via internet. The adaptability of this robot with the patients depends on the preprogram done. A microcontroller is made use for this purpose. This automated cart can be designed and implemented with low cost and the risk of Doctors, health care workers is reduced.

Keywords: Automated Cart, COVID-19, LeenaBOT

References

  1. Merin Antony, Sajithkumar V.S, Megha Parameswaran, Jineeth Joseph, Christy Mary Jacob, Nithin Mathew,” Design and Implementation of Automatic Guided Vehicle for Hospital Application” Proceedings of the Fifth International Conference on Communication and Electronics Systems (ICCES 2020) IEEE Conference Record # 48766; IEEE Xplore ISBN: 978-1-7281-5371-1.
     Google Scholar
  2. Jyh-Hwa Chou, “Automatic Guided Vehicle”, in Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications, 1995.
     Google Scholar
  3. MohdSalim Qureshi1, Pushpendra Sing, Pankaj Swarnkar, Harsh Goud, “Robotics Solutions to Combat Novel Corona Virus Disease 2019(COVID-19)", 9th International Symposium on Communications and Information Technology, pp. 1348-1349, 2009.
     Google Scholar
  4. Prakash Kanade, Prajna Alva, Sunay Kanade, Shama Ghatwal, "Automated Robot ARM using Ultrasonic Sensor in Assembly Line," International Research Journal of Engineering and Technology (IRJET), vol. 07, no. 12, pp. 615-620, 2020.
     Google Scholar
  5. Robin R. Murphy, Vignesh Babu Manjunath Gandudi Justin Adams,” Applications of Robots for COVID-19 Response”, arXiv:2008.06976v1 [cs.RO] 16 Aug 2020.
     Google Scholar
  6. G.-Z. Yang, B. J. Nelson, R. R. Murphy, H. Choset, H. Christensen, S. H. Collins, P. Dario, K. Goldberg, K. Ikuta, N. Jacobstein, D. Kragic, R. H. Taylor, and M. McNutt, “Combating covid-19the role of robotics in managing public health and infectious diseases,” Science Robotics, vol. 5, 2020.
     Google Scholar
  7. X. Cheng and R. Tao, "Design of Automat ic Guided Vehicles and Dunking Robot System," 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics, Zhejiang, 2011, pp. 3-6.
     Google Scholar
  8. Prakash Kanade, Prajna Alva, "Raspberry PI project – ultrasonic distance sensor in civil engineering," International Journal in IT & Engineering (IJITE), vol. 8, no. 10, pp. 1-6, 2020.
     Google Scholar
  9. Shetty P, Downee S, “Modeling and simulat ion of the complete electric power t rain of a Hybrid Electric Vehicle” International conference on Magnetics, Machines and drives, July 24-26,2014.
     Google Scholar
  10. F. Jiménez, J. E. Naranjo "Autonomous collision avoidance system based on accurate knowledge of the vehicle surroundings," IET Intelligent Transport Systems, vol. 9, no. 1, pp. 105117, 2015.
     Google Scholar
  11. K.Y. Chee, “Control, navigat ion and collision avoidance for an unmanned aerial vehicle,” In Sensors and Act uators A: Physical, vol. 190, pp. 66-76, 2013.
     Google Scholar
  12. Prakash Kanade, Sunay Kanade, "Medical Assistant Robot ARM for COVID-19 Patients Treatment – A Raspberry Pi Project," International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 10, pp. 105-111, 2020.
     Google Scholar
  13. Prakash Kanade, Monis Akhtar, Fortune David, "Remote Monitoring Technology for COVID-19 Patients," European Journal of Electrical Engineering and Computer Science, vol. 5, no. 1, Pages. 44-47, 2021.
     Google Scholar