Robotic Process Research Articles

Bridging the GAP: Selenium and RPA for Unparalleled Automation

In the ever-changing technological landscape of today, the incorporation of test automation has become an essential element in the realm of software development and quality assurance. Selenium, known for its robust capabilities in web application testing, has long served as a fundamental pillar in the field of test automation. Simultaneously, Robotic Process Automation (RPA) has experienced increased utilization in order to streamline repetitive business processes across various industries. However, the true potential of these two automation approaches lies in their integration, which provides an opportunity for unparalleled efficiency, productivity, and comprehensive test coverage. This article delves into the synergistic relationship between Selenium and RPA, examining how their combination ushers in a new era of test automation. We explore the seamless integration of Selenium within RPA frameworks and demonstrate how it expands automation beyond web applications, encompassing desktop applications and diverse systems. Our research outlines practical use cases, technical implementation, and the benefits of this amalgamation. Furthermore, we discuss its potential to revolutionize not only software testing but also broader business processes.The fusion of Selenium and RPA signifies a transformative shift in test automation, enabling organizations to bridge the gap between isolated testing efforts and comprehensive automation, ultimately resulting in unparalleled efficiency and reliability.

The impact of ambidexterity on robotic process automation implementation strategy in service enterprises

Robotic Process Automation (RPA) has gained increasing significance in recent years. RPA leverages software bots to automate repetitive business processes traditionally performed by humans, making it one of the easiest, least invasive, and fastest automation approaches. Publications on the topic are scarce, however, and concerns regarding job loss and employee acceptance of new operational processes and technologies remain significant challenges. The additional motivation behind this study is to address the lack of research on the implementation strategy of RPA in the context of ambidexterity, i.e., optimizing enterprise capability in balancing between exploration and exploitation. The paper adopts a managerial perspective and aims to identify the key factors supporting the implementation of RPA in the context of ambidexterity, using an empirical study of service companies as an example. The research methodology employed includes literature review, opinion surveys, and statistical analysis. The paper highlights the stimulating role of the ambidexterity concept in RPA implementation projects and strategies, with a hybrid approach to dynamic balancing of exploitation and exploration. The findings of this paper will be of use for researchers and practitioners in developing effective RPA implementation strategies that balance the needs for exploitation and exploration while factoring in the concerns raised by employees.

A New Picking Pattern of a Flexible Three-Fingered End-Effector for Apple Harvesting Robot

During the picking process of the apple harvesting robot, the attitude of the end effector holding the apple and the movement method of separating the apple directly affect the success rate of picking. In order to improve the stability of the picking process, reduce the gripping force, and avoid apple dislodgement and damage, this work studies the new apple-picking pattern of the flexible three-fingered end-effector based on the analysis of the existing apple-picking pattern. First, two new three-finger grasping postures for wrapping the apple horizontally and vertically on the inside of the fingers are proposed, and a new method of separating the stem with a circular-pull-down motion of the end-effector picking the apple is designed. Then, the pressure on the apple under different picking patterns was analyzed, and a branch–stem–apple simulation model was established. Combining the constraint conditions such as the angle between the apple stem and the vertical direction, the movement speed, the root impulse, and so on, the optimal angle of apple circular movement and the force required to realize the movement are obtained through dynamic simulation experiments. Finally, the experiments of apple picking patterns were carried out with the flexible three-fingered end-effector. The experiment shows that the best angle for apple picking is 15°~20° using the circular-pull-down movement separation method. In terms of average grasping force peaks and pressures, the combination of the vertical holding posture of the inner finger and the circular-pull-down movement separation method is the best picking pattern. In this pattern, the average peak exerts force on the inner side of a single finger is about 8.52 N, and the pressure is about 20.9 KPa.

The Rise of Robotic Process Automation in the Banking Sector: Streamlining Operations and Improving Efficiency

Robot Process Automation (RPA) is a type of business process automation that relies on software robots (bots) or artificial intelligence (AI) agents. This phenomenon is sometimes denoted as software robotics, which should not be conflated with robot software. This study investigates the increasing prevalence of RPA across several sectors, with a specific focus on its use in back-office functions. RPA software, exemplified by platforms like Blue Prism, Automation Anywhere, and UiPath, replicates human-computer interactions in order to automate operations that are repetitive and governed by predefined rules. This technology offers many advantages, including cost reduction, mistake minimization, and risk elimination. This research investigates many domains in which RPA may be used, including credible business transformation, content migrations, web crawling/OSINT, and IT department enablement. Additionally, it emphasizes the significant responsibilities within RPA operations, including process architects, technologists, and personnel involved in continuous support and maintenance. The study includes case studies conducted within the banking industry, which demonstrate the potential of RPA in augmenting both customer happiness and productivity. The market report anticipates substantial expansion in the market for RPA software, whereby industry leaders such as UiPath, Automation Anywhere, and Blue Prism are expected to play a dominant role.

Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis.

Imitation learning (IL), a burgeoning frontier in machine learning, holds immense promise across diverse domains. In recent years, its integration into robotics has sparked significant interest, offering substantial advancements in autonomous control processes. This paper presents an exhaustive insight focusing on the implementation of imitation learning techniques in agricultural robotics. The survey rigorously examines varied research endeavors utilizing imitation learning to address pivotal agricultural challenges. Methodologically, this survey comprehensively investigates multifaceted aspects of imitation learning applications in agricultural robotics. The survey encompasses the identification of agricultural tasks that can potentially be addressed through imitation learning, detailed analysis of specific models and frameworks, and a thorough assessment of performance metrics employed in the surveyed studies. Additionally, it includes a comparative analysis between imitation learning techniques and conventional control methodologies in the realm of robotics. The findings derived from this survey unveil profound insights into the applications of imitation learning in agricultural robotics. These methods are highlighted for their potential to significantly improve task execution in dynamic and high-dimensional action spaces prevalent in agricultural settings, such as precision farming. Despite promising advancements, the survey discusses considerable challenges in data quality, environmental variability, and computational constraints that IL must overcome. The survey also addresses the ethical and social implications of implementing such technologies, emphasizing the need for robust policy frameworks to manage the societal impacts of automation. These findings hold substantial implications, showcasing the potential of imitation learning to revolutionize processes in agricultural robotics. This research significantly contributes to envisioning innovative applications and tools within the agricultural robotics domain, promising heightened productivity and efficiency in robotic agricultural systems. It underscores the potential for remarkable enhancements in various agricultural processes, signaling a transformative trajectory for the sector, particularly in the realm of robotics and autonomous systems.

Optimizing Food Sample Handling and Placement Pattern Recognition with YOLO: Advanced Techniques in Robotic Object Detection

Japan, grappling with a significant labor deficit driven by a declining birthrate and an aging population, is increasingly turning towards industrial robotics, particularly in the food manufacturing sector. The diverse nature of food products presents a notable challenge: the need for customized programming for each product variant, which has been a major impediment to the widespread adoption of robotics in this domain. This paper presents an innovative solution utilizing the "You Only Look Once" (YOLO) object detection algorithm, aimed at simplifying the programming process for industrial robots. A key enhancement in our approach is the integration of Non-Maximum Suppression (NMS) for effective discrimination of overlapping objects, leveraging critical data such as the center of gravity, depth, and bounding box measurements. The incorporation of RGB-D sensors enables the acquisition of precise spatial height data, essential for assessing the stacking and arrangement of items. The practicality and effectiveness of this methodology are corroborated through empirical trials involving the robotic placement of real-world objects. This research not only demonstrates the feasibility of our approach but also underscores its potential to significantly optimize robotic operations in food manufacturing.

Robotic process automation for the advance payment to suppliers process

Robotic process automation for the advance payment to suppliers process

Study of the use of robotic process automation in supporting customer order process

The article presents a study of the impact of implementing robotic process automation in the customer service process for a manufacturing industry company. The study showed that the implementation of robotic process automation can contribute to shortening the implementation time of the analyzed process and eliminating ineffective activities. The presented conclusions suggest that the implementation of such solutions may eliminate limitations in repeatable company processes.

Robotic Process Automation with New Future Trends

Robotic Process Automation with New Future Trends

Literature review on the sustainable implementation of Robotic Process Automation (RPA) in medical and healthcare administrative services

The healthcare sector as a whole has a high administrative burden. Whether through doctors, nurses, laboratories, financial departments, accounting, pharmaceutical departments, among other entities, it is essential that everyone connects to monitor the patient. However, the administrative burden associated with these processes is extremely high which makes the tasks of the health sector more difficult to carry out. It is in this sense that the implementation of a technology such as Robotic Process Automation (RPA) allows all these routines but necessary tasks to be performed by capable software "robots" that respect rules that will allow to respond to all needs. It was found in the literature that there are few works related to the implementation of RPA in medical and healthcare services. The objective of this work is focused on a literature review to identify how RPA contributes to medical and health services in a context of sustainability. This work analyzes some studies available in the literature, analyzing them from the perspective of the Triple Bottom Line (TBL) related to environmental, social and economic effects. Regarding the results of this study, it appears that there is still a lot of room to improve research in this area, for example, with regard to the development of implementation models, governance and also to optimize the efficiency of RPA, in medical and healthcare administrative services, taking into account the TBL of the concept of sustainability.

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In the article, the author analyzes the effectiveness of the RA state procurement tender procedures. With a comparative examination of the facts, he developed concepts about the efficiency of competitive procurement provided by legislation, and then presented his own approaches and proposals from the point of view of further increasing that efficiency. The point of view is being developed that starting from 2019, the average rate of participants in procurement procedures carried out in the form of a request for quotations is decreasing and approximately coincides is with the decrease of its calculation economy indicator, and the amount of purchases using open tenders is increasing in dram terms, but accompanied by a tendency to decrease the number of participation cases and calculation economy until 2021, so the request for quotation and open tender should turn into more automated options over time and increasingly resemble electronic auctions. In light of increasing competition and rising costs, digitizing procurement and supply management (PSM) is a key investment priority for organizations, as this area tends to lag behind other business functions. That's why advanced digital technology, Robotic Process Automation (RPA), is increasingly being used to redesign, optimize and automate procurement processes. This technology consists of software licenses (so-called bots) that imitate human behavior and actions.

Robotic process automation transformations in healthcare services: a retrospective review and future research agenda

Robotic process automation transformations in healthcare services: a retrospective review and future research agenda

ВИКОРИСТАННЯ RPA СИСТЕМ ДЛЯ РОБОТИЗАЦІЇ ОБЛІКОВИХ ПРОЦЕСІВ НА ПІДРИЄМСТВАХ

The article explores Robotic Process Automation (RPA) as a technological solution that enables end-users to program or train software robots to perform various operations such as data processing, system interaction, and office tasks. It identifies typical office operations that can be automated using RPA and emphasizes that accounting processes can be effectively automated using robotic software agents. Key areas of accounting process automation are identified, including period closing, reporting, accounts receivable and payable, cash management, general ledger management, inventory, and others. Implementation cases of RPA from various sectors such as technology, printing, and manufacturing have shown significant positive results, including reduced processing time, cost savings, and improved efficiency and accuracy of processes. It is highlighted that the most frequently chosen processes for RPA are purchasing and selling and internal reporting, characterized by routine nature and lack of need for complex decisions. Automating such processes leads to significant productivity and accuracy improvements in accounting. The automation of processing incoming tax invoices is discussed. The benefits of automating accounting are examined, including reduced error risk, increased efficiency, time and resource savings, accuracy and compliance assurance, enhanced analytics, improved process management, greater visibility of results, geographical and cultural independence, and positive impact on employees. Preconditions, challenges, and risks affecting the expected outcome of RPA automation are analyzed. Key aspects to consider when implementing RPA include process design, compatibility with existing IT infrastructure, data security and confidentiality, support and maintenance, as well as task limitations.

Optimizing IT Project Management: Leveraging Jira Automation for IT implementations

In the dynamic landscape of Information Technology (IT) Project Management, the efficient utilization of resources and the timely execution of tasks are critical for successful project outcomes. The objective of this study is to explore the application of Robotic Process Automation (RPA) in the realm of IT project management, specifically focusing on leveraging Jira automation for software implementations. By automating repetitive tasks and workflows within the Jira platform, IT teams can streamline processes, reduce manual intervention, and enhance productivity. This study is relevant as it investigates implementation strategies associated with integrating RPA into Jira for IT project management. Drawing from industry insights on how methodologies are applied for project development, the research underscores the potential of Jira automation in optimizing the project workflows. Additionally, several scenarios, potential automation candidates, are discussed, and automated workflows are suggested in order to improve team collaboration and accelerate project delivery. Ultimately, this article aims to enhance efficiency and effectiveness in IT project management through the strategic deployment of Jira automation powered by RPA technologies.

Robotic process automation for the advance payment to suppliers process

Robotic process automation for the advance payment to suppliers process

Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship

Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship

Application of robotic process automation in customer satisfaction at toll plazas

Background: Digitalization is widely spreaded in all over the world and Robotic Process Automation is one the main component in future technology. It is a new technique which is used to copy actions of human being who is interacting with the digital system. Now a days RPA is being adopted by number of service providers, toll plazas are one of them. Operations at toll plazas are conducting through RPA in form of fastag. Objectives: The paper aims to analyses satisfaction level of customers at toll plazas. As increasing traffic creates a lot of difficulties faced by customers such as wastage of time in long ques, improper service at toll plazas, no response from the employees, lack of knowledge among toll plaza staff. To eliminate this kind of problem new technique is implemented as fastag. Methodology: This conceptual research was based on both the primary and the secondary data. The methodology which is used, is a way which includes systematic and effective evaluation of numerous factors which creates dissatisfaction among customers of toll plazas. Findings: With the help of adequate samples results and findings it has been observed by the researcher that after implementing Robotic Process Automation at toll plazas customers are being satisfied by the performance of toll plazas and their employees. Conclusion: Robotic Process Automation is becoming mandatory to do business operations at toll plazas, as bots can do multiple tasks within a very short span of time. As after introduce this technique to toll plazas quality of service is getting improved, customers are satisfied and getting 24*7 access to their systems.

Rebel Foods’ Cloud Kitchen Technologies: Food for Thought?

This case study examines the India based cloud kitchens and food services provider Rebel Foods’ technology platforms. We document the development of the company from its foundation in 2004 and the role played by technology in enabling its various lines of business. We describe in detail the technology stack that drives the operations at Rebel Foods. We also present various emerging technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), blockchain, and augmented reality (AR) that may be utilized by Rebel Foods to increase efficiency, build customer engagement, and improve sales growth and profitability. We critically examine Rebel Foods’ current approach to technology and analyze the various technology options that the company may consider to drive its future strategy.

The technology impacts and AI solutions in hospitality

With the help of technology and Artificial Intelligence (AI), the hospitality industry has undergone a considerable change that has affected both the guest experience and the efficiency of operations. Through chatbots and virtual assistants, AIdriven solutions have become essential for improving interactions with guests, making personalized suggestions, and making reservations easier. Predictive analytics, Robotic Process Automation (RPA), and facial recognition technologies have made operations more efficient by improving security, finding the best pricing strategies, and automating routine tasks. Dynamic pricing algorithms look at market conditions and changes in demand in real-time, which has changed how revenue management is done. Contactless technologies, which AI has made simpler, are crucial to keeping things clean. AI-powered surveillance has strengthened safety and security measures. HR analytics and internal communication chatbots help managers streamline work processes and get employees more involved. IoT sensors make predictive maintenance possible, preventing equipment from breaking down by predicting when it needs maintenance. When voice recognition technology is built into a room, guests can use their voices to control amenities. Data analytics and Customer Relationship Management (CRM) systems also use AI to learn about guests' likes, dislikes, habits, and feedback, which helps with targeted marketing and providing more personalized services. Using secondary data, this study concluded that the hospitality industry continues to use AI and technology, and the sector moves forward thanks to the positive feedback loop between new ideas and happy customers. The study's findings show how AI solutions have changed hospitality, including making things better for guests, making things run more smoothly, and always trying to provide the best service possible.

Izazovi primene digitalnih tehnologija u reviziji

Every company must consider the changes in a digital environment. In the era of digital transformation, the company understands the importance of information technologies, and makes adjustments in the form of structural changes. Modern technology usage provides the possibility of the analysis of previously unimaginable types and amounts of data, and introduces significant changes in the field of auditing. By simplifying the audit work, digitalization has also created new opportunities for IT auditing. The aim of this paper is to present the opportunities and challenges of key digital trends in auditing, or the usage of big data analytics, artificial intelligence, blockchain technology, and robotic process automation. There is an emerging need for auditors to take advantage of digital technology usage and respond to the challenges of digitalization in a systematic and high-quality way. The progress of using digital technologies in auditing is contributing to more reliability and better quality reporting, which is leading to increased trust among stakeholders in the results of audit work.