ABSTRACT
With the upgrading and innovation of the logistics industry, the requirements for the level of transportation smart technologies continue to increase. The outbreak of the COVID-19 has further promoted the development of unmanned transportation machines. Aimed at the requirements of intelligent following and automatic obstacle avoidance of mobile robots in dynamic and complex environments, this paper uses machine vision to realize the visual perception function, and studies the real-time path planning of robots in complicated environment. And this paper proposes the Dijkstra-ant colony optimization (ACO) fusion algorithm, the environment model is established by the link viewable method, the Dijkstra algorithm plans the initial path. The introduction of immune operators improves the ant colony algorithm to optimize the initial path. Finally, the simulation experiment proves that the fusion algorithm has good reliability in a dynamic environment. © 2022 IEEE.
ABSTRACT
With the development and progress of intelligent algorithms, more and more social robots are used to interfere with the information transmission and direction of international public opinion. This paper takes the agenda of COVID-19 in Twitter as the breakthrough point, and through the methods of web crawler, Twitter robot detection, data processing and analysis, aims at the agenda setting of social robots for China issues, that is, to carry out data visualization analysis for the stigmatized China image. Through case analysis, concrete and operable countermeasures for building the international communication system of China image were provided. © 2022 IEEE.
ABSTRACT
In recent years, the novel corona virus pandemic is raging around the world, and the safety of home environment and public environment has become the focus of people's attention [2]. Therefore, the research on disinfection robot has become one of the important directions in the field of machinery and artificial intelligence. This paper proposes a robot with the STM32 MCU as the core of disinfection, and is equipped with a variety of sensors and a camera vision, has the original cloud service management platform, the remote deployment of navigation, based on visual SLAM to realize high precision navigation and positioning, can realize to indoor environment autonomously route planning, automatic obstacle avoidance checking, disinfection, epidemic prevention function, at the same time can pass Bit computer software realizes remote control of robot, which has great development potential. © 2022 ACM.
ABSTRACT
This article discusses about the design and deployment of a smart robotic system on university campuses for monitoring the indoor environment, health protocols, and sanitation. The designed VEX autonomous robotic system performed the following tasks: (a) moving around the university classrooms and scanning the body temperature of students and staff, as well as tracking environmental parameters in classrooms;(b) executing sanitation function by disinfecting objects in classrooms;and (c) performing security function by sending an alert signal to health and safety officer if a student or staff with fever enters the classroom, or if staff or student is not wearing face mask indoors. Particle Photon microcontrollers linked to sensors and actuators were used to detect and manage indoor environmental conditions as well as track individuals' body temperatures from a distance, with the data being stored in the ThingSpeak and Particle cloud platforms and displayed on smartphone apps. Transfer learning through MIT App Inventor's Personal Image Classifier was used to detect health protocol violations with 93.33% accuracy. The maximum distance traversed by the robot prototype was 38 meters, with an average time of 220 seconds and an average speed of 0.17 meters per second. The robot had an 88.89% success rate in following the black-lined course. This intelligent robotic system can limit staff and student exposure to infectious diseases and implement "new normal"health and safety practices on campus as post-COVID-19 precautions. © 2023 IEEE.
ABSTRACT
Over the years, the robotic industry has made significant growth in the manufacturing sector due to the need for collaborative and interactive robots. But it is not the case for service sectors, especially in the healthcare sector. A lack of emphasis is given to healthcare which has led to new opportunities for developing assistive robots which can aid patients with disabilities and illnesses. Furthermore, COVID-19 has acted as a catalyst for the development of assistive robots in the healthcare sector in an attempt to overcome the difficulties faced due to viruses and bacteria. This paper demonstrates the simulation of a multi-purpose medical assistive robot using ROS(Robot Operating System). This intelligent robot is successfully simulated and visualized in the ROS environment. To achieve real-Time autonomous motion Google Cartographer SLAM(Simultaneous Localization And Mapping) is used to generate real-Time maps of unknown environments. It usually focuses on how these robots can provide assistance to health workers, customers, and organizations in different sectors of the healthcare environment. © 2023 IEEE.
ABSTRACT
Businesses are very cautious about their supply chain. Any delay or disruption may lead to unimaginable loss. The COVID-19 scenario has taken this concern to an epic hyper. Businesses could not meet their customer's needs due to the lack of Human Resource during the prolonged lockdown. Companies had to either downsize or shut down. Businesses started searching for means to operate their processes with as low resources as possible. Thus, many started adopting Robotic Process Automation though it is still evolving. There are many literatures that discuss the implementation of RPA in varied streams like accounting, finance, HR, and others. Yet there is a very limited study that has focused on RPA implementation in supply chain processes. The proposed chapter showers light on the adoption of RPA in the varied stages of supply chain. A complete real-time automation use case on invoice processing is also discussed. This chapter aims to help researchers, RPA enthusiasts, and entrepreneurs to realize the time, effort, and economic benefits of implementing RPA. Thus, encouraging them to adopt RPA in their supply chain processes. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Service Robots, Artificial Intelligence (AI), and Service Automation have shown to be increasingly advantageous to hotel businesses. Especially, during the COVID-19 pandemic, hotels are starting to adopt artificial intelligence (AI) and robotics to increase the quality of their service. The are several studies have examined the costs and benefits of implementing these smart technologies, only a few of them have investigated the impact on hotel employees job performance. The purpose of this study is to investigate whether hotel employees' self-efficacy, their attitude on technology adoption, and their relationship quality with supervisor can affect their job performance. A convenience sample method was used to select respondents. The survey was distributed to employees of five- and four-star hotels in Jakarta who worked with technology equipment daily. There were 171 research participants involved in this study. Primary data was gathered using a questionnaire survey and analyzed quantitatively using SmartPLS to test for causal relationships in the data. The outcome of this research found that there is a positive significance relationship between employees' self-efficacy and their job performance, employees' relationship quality and their job performance, and also with their attitude on smart technology adoption and their job performance. These findings contribute to the impact of smart technology adoption literature, particularly in smart technology adoption in hospitality industry. © 2022 IEEE.
ABSTRACT
As the world faces a COVID epidemic, one of the most critical rules to observe is social separation. There are some situations where social separation is difficult to maintain, such as canteens. The proposed technology equips a college canteen with an autonomous food serving robot, allowing us to preserve social distance. People in canteens confront challenges such as long lines and food service delays. When it comes to college canteens, students only have a limited amount of time for refreshment, resulting in a rush at the canteen. Our self-serving food robot will serve the food to the clients without fail;all they have to do is order meals using the mobile app. The system relies on a mobile application to place orders and a robot to deliver the food. Users will be able to summon the robot using the help button in the mobile app, which will result in canteen trash management. For routing and finding the best way to the table, we employ a combination of sensors and Radio Frequency Identifier (RFID) technology. Our solution will benefit the admin in addition to keeping the customers happy. Making a robot will be less expensive than hiring a human waiter. The system not only has a rechargeable wallet payment interface, but also net banking, card payment, and UPI payment possibilities. © 2022 IEEE.
ABSTRACT
This Industrial Revolution 4.0 is in boom across the globe;which is an indication for Universities and Colleges to adopt the future i.e. Education 4.0. Since the Last Decade, there has been a drastic change in the field of education. It has changed from physical learning to digital learning due to Covid-19. As digital learning came into the picture many developments have happened in using industrial revolution 4.0. This transformation has taught all of us how to use ICT effectively for conducting the lectures for the students remotely and smoothly. ICT has enabled new ways of student learning with the challenge of the availability of good learning platforms and tools. Industrial Revolution 4.0 and Education 4.0 work hand in hand for bringing new ways of learning. Industry 4.0 is majorly working on Robotic Process Automation, Industrial Internet of Things, Artificial Intelligence, and Smart Technologies. All the Technologies which are associated with Industry 4.0 have a massive impact on individuals' everyday lifestyles. To improve education, learning skills, and personal skills in students, universities and colleges need to adopt Education 4.0 which is an evolution in the Education System. Teaching students digital technologies in their current syllabus will change the learning habits of the students which will in turn improve universities and colleges. Future of Education will be completely based on Education 4.0 which will restructure the current education system. This case study will be focusing on the selection of Digital Learning Platform and Communication Tools for Future Education 4.0 in India on the basis of different parameters. © 2022 IEEE.
ABSTRACT
As chatbots become more advanced and popular, marketing research has paid enormous attention to the antecedents of consumer adoption of chatbots. This has become increasingly relevant because chatbots can help mitigate the fear and loneliness caused by the global pandemic. Therefore, unlike previous work that focused on design factors, we theorize that social presence serves a mediating role between consumer motivations (i.e., hedonic and utilitarian) and intention to use a chatbot service based on self-determination theory. Our results from a structural equation model (n = 377) indicate that hedonic (but not utilitarian) motivation significantly affects chatbots' social presence, ultimately influencing intention to use the chatbot service. We also found that fear of COVID-19 amplifies the effect of social presence on intention to use the chatbot service. In this dynamic, we found an additional moderated moderation effect of generational cohorts (i.e., baby boomers and Generations X, Y, and Z) in experiencing different levels of fear of COVID-19. Overall, our findings emphasize the importance of motivation-matching features for consumer adoption of chatbot services. Our findings also indicate that marketers may utilize the fear element to increase adoption of chatbot services, especially when targeting the young generations (e.g., Generation Z). © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
ABSTRACT
One of the main impacts of technologies in the tourism sector is traveler empowerment. Technology has allowed travelers to be a lot more informed and to take a proactive role in organizing their own trip. Now, tourists are much more demanding, have several options to choose, and have more bargaining power. Tourist has also become not just a mere visitor, but a content generator sharing their experience with other travelers. This research intends to identify the adoption of technologies in the hotel and restaurant sector and secondly to identify smart technologies that can help to eradicate the virus and normalize the hospitality business. The research question is: How COVID-19 could be a trigger for the adoption of new technologies in the hospitality sector? The objectives are: (i) to identify new technologies already adopted in the hotel and restaurant areas, (ii) to pinpoint how new technologies could help in health and cleanness protocols, and (iii) to categorize changes in operational areas after the consecutive lockdowns. To achieve these goals, several case studies were collected to show and explain best practices for the future. The results are expected to help identify outcomes to build a survey to apply to hospitality professionals. Also, those outcomes will be useful in improving professionals' tools, resources, and procedures to help to eradicate the COVID-19 virus. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Under the circumstance of COVID-19 epidemic spread, global medical resources are in serious shortage. As a common way of care for respiratory diseases, although back-slap sputum excretion can be used for the care of lung diseases, but it requires the cooperation of multiple medical staff, and lead to inefficient care. This paper designed a method of the human' s back feature recognition based on YOLOv5, and built a new type of intelligent robot for back-slap sputum excretion on this basis, which can assist care staff to complete the back-slap sputum excretion care for patients, and reduce the labor intensity of staff and the risk of cross infection. © 2022 IEEE.
ABSTRACT
Under the COVID-19 and other terrible environments workers are constrained to sweep campus and public area. Intelligent and driverless sanitation robot can solve the problem. Obstacle avoidance and garbage cleanup are its important functions. Based on the driverless sanitation robot project introduced by Sanda University, this paper carries out recognition of campus vehicles and improves its obstacle avoidance function. Through image processing, the object features of different environment and climate conditions are extracted, analyzed and recognized, so as to achieve more accurate recognition of campus vehicles. And opencv and python language are used to complete the implementation of vehicle detection. © 2022 IEEE.
ABSTRACT
In the Covid-19 epidemic, the automated guided vehicles (AGVs) could be use in material handling which prevent interpersonal contact and be a factor in reducing the epidemic. As the consequence of the labor shortage, the recruitment of labor on material handling tends to be scarce and the labor cost is also higher. Therefore, the solution is to use AGVs in the material handling in the production line. The benefit of reducing the human labor is the ability to reduce the cycle time and human error in the operation. However, at present, the cost of the AGVs from the manufacturer or the dealer is high. This paper introduces the development process of an automatic transport vehicle by using Mecanum wheels which can carry payload up to 20 kg. The hardware and software of material handling vehicle was designed such as the material of the structure, sensors, electrical circuit, controller, and computer algorithm. The autonomous material handling vehicle was tested in the transportation of small parts in factories within limited workspaces where conventional wheeled vehicles cannot operate. The RP-LiDAR S1 was used to acquire main sensing signal to find the appropriate escape route. The experimental results showed that the intelligent nagavative system enhance the ability of obstacle avoidance to the material handling vehicles in the real situation in the transportation of small parts in a factory. © 2022 IEEE.
ABSTRACT
Technology plays a vital role in our lives to meet basic hygiene necessities. Currently, the whole world is facing an epidemic situation and the practice of using sanitizers is common nowadays. Sanitizers are used by people to sanitize their hands and bodies. It is also used for sanitizing objects that come into contact with the machine. While sanitizing a small area, people manage to sanitize via pumps, but it becomes difficult to sanitize the same area every day. One of the most severe sanitation concerns is a simple, economic and efficient method to adequately clean the indoor and outdoor environments. In particular, effective sanitization is required for people working in a clinical environment. Recently, some commonly used sanitizer techniques include electric sanitizer spray guns, electric sanitizer disinfectants, etc. However, these sanitizers are not automated, which means a person is required to roam personally with the device to every place to spray the disinfectant or sanitize an area. Therefore, a novel, cost-effective automatic sanitizing machine (ASM) named ASMBoT is designed that can dispense the sanitizer effectively by solving the aforementioned problems. © 2022 IEEE.
ABSTRACT
With the Covid-19 raging around the world, economic and social problems are facing a considerable impact. Many patients who have undertaken rehabilitation treatment in hospitals must be forced to rehabilitate at home. To solve the problems, this paper presents a rehabilitation assistance system combining artificial intelligence and humanoid robots. First, the humanoid robot can play the role of a physical therapist, demonstrating rehabilitation movements and leading patients to rehabilitate. Second, OpenPose model is used to track the human skeleton during rehabilitation. Finally, we compare with the pre-set standard actions, calculate their similarity, and then convert them into quantitative scores for subsequent recording and tracking. The proposed method is verified on the COCO 2017 dataset and self-collected LSVT dataset, and achieves an average precision of 85.5% for skeleton detection. Experiment results from 9 subjects show that the more the non-standard actions are, the lower the score is. This proved that the presented work can provide an effective monitoring method for home rehabilitation. © 2022 IEEE.
ABSTRACT
One of the main impacts of technologies in the tourism sector is traveler empowerment. Technology has allowed travelers to be a lot more informed and to take a proactive role in organizing their own trip. Now, tourists are much more demanding, have several options to choose, and have more bargaining power. Tourist has also become not just a mere visitor, but a content generator sharing their experience with other travelers. This research intends to identify the adoption of technologies in the hotel and restaurant sector and secondly to identify smart technologies that can help to eradicate the virus and normalize the hospitality business. The research question is: How COVID-19 could be a trigger for the adoption of new technologies in the hospitality sector? The objectives are: (i) to identify new technologies already adopted in the hotel and restaurant areas, (ii) to pinpoint how new technologies could help in health and cleanness protocols, and (iii) to categorize changes in operational areas after the consecutive lockdowns. To achieve these goals, several case studies were collected to show and explain best practices for the future. The results are expected to help identify outcomes to build a survey to apply to hospitality professionals. Also, those outcomes will be useful in improving professionals' tools, resources, and procedures to help to eradicate the COVID-19 virus. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The contactless service has become an important measure to avoid the spread of COVID-19 since its outbreak in 2020. Combining with the current epidemic situation and the epidemic prevention problems exposed by the present situation of outpatient service in hospitals and the analysis of their causes, this study applied the thinking and method of product design, and put forward an intelligent medical guide service robot design. By analyzing the user's actual outpatient demand, the functional modules of the robot are planned, and the corresponding hospital scene is established by using the open source simulation software Webots, which simulates the navigation function of the robot. The purpose of this study is to reduce the labor burden of medical staff, alleviate the contradiction of medical resources shortage, improve the quality of hospital outpatient service and build a new intelligent medical service platform. Meanwhile, it also provides relevant reference for the design of intelligent medical products. © 2022 The authors and IOS Press.
ABSTRACT
When the infectious coronavirus SARS-CoV-2 broke out it resulted in a global crisis. In the fight of Covid-19, China’s government relied on its strength to apply new technologies, i.e. for controlling and containment of the virus by tracing and tracking Chinese citizens. Relying on the trajectory of industrialisation, China has pursued a path of innovation. While it is reasoned that China’s advantage might have origin in the experience of the SARS outbreak almost two decades ago, this article argues that mainly China’s innovation- driven climate has favoured the application of new technologies in combatting the current crisis. Based on the innovation-driven trajectory this article explores China’s pathway out the corona crisis and how this might strengthen China’s role in global health governance. In order to pursue this aim, this article explores several areas, in which the next generation of technologies, such as AI-based diagnostic or intelligent robots were applied and concludes with an outlook based on the formulated political agenda, strategic considerations and initial international cooperation regarding China’s impact for global health.
ABSTRACT
With continuing developments in artificial intelligence (AI) and robot technology, ethical issues related to digital humans, AI avatars, intelligent process automation, robots, cyborgs, and autonomous vehicles are emerging, and the need for cultural and social sustainability through AI ethics is increasing. Moreover, as the use of video conferencing and metaverse platforms has increased due to COVID-19, ethics concepts and boundaries related to information and communications technology, cyber etiquette, AI ethics, and robot ethics have become more ambiguous. Because the definitions of ethics domains may be confusing due to the various types of computing platforms available, this paper attempts to classify these ethics domains according to three main platforms: computing devices, intermediary platforms, and physical computing devices. This classification provides a conceptual ethics framework that encompasses computer ethics, information ethics, cyber ethics, robot ethics, and AI ethics. Several examples are provided to clarify the boundaries between the various ethics and platforms. The results of this study can be the educational basis for the sustainability of society on ethical issues according to the development of technology. © 2022 by the author.