ABSTRACT
The new eruption of COVID-19 has overpowered the world, convinced lockdowns and pushed general clinical consideration systems. Covid is known to be a significantly overpowering disease, and spoiled individuals at first don't show signs, while some stay asymptomatic. The new eruption of COVID-19 has overpowered the world, convinced lockdowns and focused on general clinical consideration structures. Covid is known to be significantly compelling contamination, and corrupted individuals at first don't show signs, while some stay asymptomatic. In like manner, various assemblies have shown uncommon interest in cell contact following applications that help with robotizing the inconvenient task of following all new contacts of late perceived polluted individuals. We give an overview of several suggested methods following results in the increase, many of which have been distributed nationally, and discuss the concerns clients have expressed about their use. © 2022 IEEE.
ABSTRACT
In today's world, technology has drastically increased in all sectors of industries and businesses. Automated machines demands have increased rapidly. Most small and medium scale businesses are trying to use this technology to increase the speed and reliability. One of the booming technologies is robotics, which helps businesses in so many ways. This paper discusses the approach and experience in the design, simulation, modelling, testing, and deployment of a Low-Cost food delivery robot in hotels, restaurants etc. These food delivery robots give an enhanced experience for the customers and benefits the restaurant business financially by bringing attention to visitors and act as a publicity. The restaurant industry is also experiencing a downturn because of the COVID-19 breakout. With this method, food can be delivered directly from the kitchen to the customer's table while maintaining all norms and sanitary guidelines. The robot uses microcontroller mounted with DC motors. Ultrasonic sensors and IR sensors are used for mapping and localization of destination tables, motor drivers, obstacle detection, collision avoidance, path detection. The robot performed as per the test and achieved the desired result. © 2022 IEEE.