ABSTRACT
The development of science leads to changes that come with the initiation and implementation of innovations in technologies that are implemented in production, thus leading to fundamental changes in the economic and social system of each society. Development of new technologies, including robotics & automation, intelligent sensors, 3D printers, cloud computing, radio frequency identification – RFID, etc., is the foundation of the fourth industrial revolution, i.e., Industry 4.0. The implementation of Industry 4.0, among other technologies, is mostly based on robotic technology, both industrial and service robots. Of all the service robots, we can single out the service robots for logistics, whose high implementation was caused by the COVID-19 pandemic. There are two reasons for the high trend in the application of service robots for logistics. One reason is the COVID-19 pandemic, where the use of service robots can meet one recommendation, and that is distance. In order to control the pandemic, especially in medical institutions where patients are affected by the COVID-19 virus, it is necessary to treat patients with medicines, which can easily be achieved by the use of service robots. Another reason for their application is global competition in the market where work must be done to improve quality, reduce production time, reduce production and maintenance costs, to replace workers on all monotonous and difficult work tasks. By applying service robots, we increase the implementation of Industry 4.0 and thus create a significantly higher level of added value, create more benefits and bring benefits to all people in the world. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Due to COVID-19 pandemic, there is an increasing demand for mobile robots to substitute human in disinfection tasks. New generations of disinfection robots could be developed to navigate in high-risk, high-touch areas. Public spaces, such as airports, schools, malls, hospitals, workplaces and factories could benefit from robotic disinfection in terms of task accuracy, cost, and execution time. The aim of this work is to integrate and analyse the performance of Particle Swarm Optimization (PSO) algorithm, as global path planner, coupled with Dynamic Window Approach (DWA) for reactive collision avoidance using a ROS-based software prototyping tool. This paper introduces our solution - a SLAM (Simultaneous Localization and Mapping) and optimal path planning-based approach for performing autonomous indoor disinfection work. This ROS-based solution could be easily transferred to different hardware platforms to substitute human to conduct disinfection work in different real contaminated environments.
ABSTRACT
Last year and part of this year, we have witnessed a large number of people being infected, and subsequently died, as a result of the corona virus COVID-19. The physical environment plays an important role in transmitting the infection. We must urgently find a solution and answer to all situations in society that have a detrimental effect on human health. When it comes to virus transmission, it is necessary to disinfect both the body and the room. The development of new technologies leads to the development of service robots that are implemented for disinfection in the medical institutions. The paper presents a review of the implementation of service robots that use ultraviolet light for disinfection in medical institutions. UV disinfection of surface with service robots is one of the most promising new technologies for several reasons, of which some are: faster treatment in the room, higher productivity, highly effective treatments, whole room treatment, one room treatment, etc. In addition to service robots for indoor disinfection, service robots for disinfection of outdoor surfaces have also been developed. New materials and technologies are now being introduced into medical facilities in an attempt to reduce the ecological pathway of disease transmission. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.