ABSTRACT
Educational robots allow students deepen their knowledge of mathematics and scientific concepts. Educational Robotic coding clubs provide a learning environment for K-6 students that promotes coding through STEM digital literacy. Students in educationally disadvantaged families may not have the educational and financial capital to engage in STEM learning. Closures of schools and afterschool services during the COVID-19 pandemic increased this digital divide. This research proposes a framework for delivering a virtual robotic coding club in an educationally disadvantaged community. The framework develops young people's emotional engagement in STEM through robotic coding. Synchronous online classes were delivered into family homes using Zoom. Results demonstrate that children achieved emotional engagement as reported through high levels of enjoyment and increased interest after participating in the programme. The research shows promise in increasing children's STEM skills and knowledge, and in improving positive attitudes towards STEM for children and parents. © 2023 IEEE.
ABSTRACT
In 2019, the Novel Coronavirus Disease (COVID-19) was categorized as a pandemic. This disease can be transmitted via droplets on items or surfaces within several hours. Therefore, the researchers aimed to develop a wirelessly controlled robot arm and platform capable of picking up objects detected via object detection. Robot arm movements are done via the use of inverse kinematics. Meanwhile, a custom object detection model that can detect objects of interest will be trained and implemented in this project. To achieve this, the researchers utilize various open-source libraries, microcontrollers, and readily available materials to construct and program the entire system. At the end of this research, the prototype could reliably detect objects of interest, along with a grab-and-dispose success rate of 88%. Instruction data can be properly sent and received, and dual web cam image transfer reaches up to 1.72 frames per second. © 2023 IEEE.
ABSTRACT
The Internet of Things revolution is transforming current healthcare practices by combining technological, economic, and social aspects. Since December 2019, the global spread of COVID19 has influenced the global economy. The COVID19 epidemic has forced governments all around the world to implement lockdowns to prevent viral infections. Wearing a face mask in a public location, according to survey results, greatly minimizes the risk of infection. The suggested robotics design includes an IoT solution for facemask detection, body temperature detection, an automatic dispenser for hand sanitizing, and a social distance monitoring system that can be used in any public space as a single IoT solution. Our goal was to use IoT-enabled technology to help prevent the spread of COVID19, with encouraging results and a future Smart Robot that Aids in COVID19 Prevention. Arduino NANO, MCU unit, ultrasonic sensor, IR sensor, temperature sensor, and buzzer are all part of our suggested implementation system. Our system's processing components, the Arduino UNO and MCU modules are all employed to process and output data. Countries with large populations, such as India and Bangladesh, as well as any other developing country, will benefit from using our cost-effective, trustworthy, and portable smart robots to effectively reduce COVID-19 viral transmission. © 2022 IEEE.
ABSTRACT
As a result of the COVID-19 pandemic, an unprecedented crisis has been generated in all areas of life. In education, this emergency led to the massive closure of face-to-face activities in educational institutions of all levels to prevent the spread of the virus and mitigate its impact. In response to this situation, nine public research centers of the National Council of Science and Technology (CONACYT) of Mexico, CIDETEQ, CIATEJ, CIATEQ, CIESAS, CIMAV, CIO, CIQA, COMIMSA, and ECOSUR, proposed a project through which a set of virtual laboratories would be established, both for teaching and to improve their technological infrastructure for teaching. The project would take advantage of the tools of Information and Communications Technologies (ICTs) that allow remote access, which is the main challenge to develop educational tools that provide for distance education, and give continuity to graduate programs. © 2023 IEEE.
ABSTRACT
Through the last decade, and particularly after the Covid period (2020 - 2022), crowd counting and localization have attracted much attention of AI researchers due to its potential applicability in crowd monitoring and control, public safety, space design, interactive content delivery etc. Once delivery objectives for a system are envisaged and the premises are fixed, we can always construct manifold technology architecture that delivers the set goals. However, in the Indian context a solution of choice needs to be optimized on frugality and ease of adaptability. In this paper we report an economic and replicable application of crowd counting and interactive content delivery in museums through unbiased knowledge systems embedded in robotic museum assistants. We intend to demonstrate a robotic system that can deliver any gallery content to groups of visitors keeping special focus on the exhibits that are popular choices. Crowd counting is used here to enable the content presentation to a group of choice in an interactive way. There are some market-ready solutions available for interactive gallery demonstration by moveable robots but they require not only huge capital investment but are also of limited use within controlled environments. Our proposed design is to multiplex an existing infrastructure of surveillance system as a smart crowd counting and gallery demonstration system along with crowd management with minimum additional hardware infusion. © 2023 IEEE.
ABSTRACT
INTRODUCTION: Patients frequently use the Web to obtain health information. This trend increased during the COVID19 pandemic. We aimed to assess the quality of Web-based information on robot-assisted radical cystectomy. METHODS: A Web search was conducted in November 2021 using the 3 most common engines (Google/Bing/Yahoo). Search terms were "robotic cystectomy," "robot-assisted cystectomy," and "robotic radical cystectomy." The top 25 results generated for each term by each search engine were included. Duplicate pages, pages advertised, and pages with paywall access were excluded. Selected websites were classified as academic, physician, commercial, and unspecified. The quality of site contents was evaluated using the DISCERN and Journal of the American Medical Association (JAMA) assessment instruments, and HONcode (Health on the Net Foundation) seal and reference presence. Flesch Reading Ease Score was used for readability assessment. RESULTS: Of the 225 sites examined only 34 were eligible for analysis, including 35.3% classified as "academic," 44.1% "physician," 11.8% "commercial," and 8.8% "unspecified." Average±SD DISCERN and JAMA scores were 45.5±15.7 and 1.9±1.1, respectively. Commercial websites had the highest DISCERN and JAMA scores with a mean±SD of 64.7±8.7 and 3.6±0.5, respectively. Physician websites had a significantly lower JAMA mean score than commercial ones (p <0.001). Six websites had HONcode seals and 10 reported references. Readability was difficult as it was at the level of college graduate. CONCLUSIONS: As the role of robot-assisted radical cystectomy continues to grow worldwide, the overall quality of Web-based information related to this procedure remains poor. An effort should be made by health care providers to assure patients can have better access to reliable and readable informational material.