Robotic Process Research Articles

North Sulawesi Single Local Fruit Detection Using Efficient Attention Module Based on Deep Learning Architecture

A Local fruit detection system is an agricultural vision field that can be implemented to increase the profit of a commodity. Besides that, North Sulawesi has a variety of local fruits which are widely used by people in their area and have a high selling value. The sorting system is an essential process of agricultural robots to sequentially separate fruit one by one. This automation process requires an accurate vision system to detect and separate fruit precisely and precisely. In addition, the implementation of a practical application demands a method to be able to work in real-time on low-cost devices. This work aims to design a local single fruit detection system for Sulawesi North by applying deep learning architecture to produce high performance. The architecture is designed to consist of an effective backbone for rapidly separating the distinctive features, an efficient attention module to improve feature extraction performance, and a classifier module employed to estimate the probabilities of each local fruit category. As a result, the designed model produces an accuracy value of 99,27% and 99,57% on the Fruits-360 and the local datasets, respectively. It outperforms other light architectures. In addition, deep learning models are designed to produce higher efficiency values than other competitors and can operate quickly at 100,488 Frames per Second.

Characterization of the automation Anywhere and Uipath platforms for the implementation of RPA

This article makes an exhaustive characterization of two leading platforms in the field of Robotic Process Automation (RPA): Automation Anywhere and UiPath. The main objective is to provide a detailed comparison of both solutions to facilitate the appropriate choice according to the needs of RPA implementation in an organization. The article begins by explaining the fundamental concepts of RPA and its importance in optimizing business processes. Then, a detailed description of Automation Anywhere and UiPath is presented, covering aspects such as its architecture, user interface, automation capabilities, compatibility with different applications and systems, security, and scalability. It concludes with a summary of the main differences between Automation Anywhere and UiPath, highlighting key aspects that allow readers to make informed decisions when selecting the most appropriate platform for their particular process automation needs.

Prototyping and implementing Robotic Process Automation in accounting firms: Benefits, challenges and opportunities to audit automation

Despite the advancements in technology, auditors still spend a significant amount of time performing repetitive and rule-based tasks. Our paper examines various audit scenarios within four accounting firms and discusses the potential for robotic process automation (RPA) to improve the efficiency and accuracy of these tasks. We propose and implement RPA-enabled solutions to make various procedures more efficient and effective. These anecdotes were based on our consultancy experiences with auditors from a group of Big 4 and mid-sized accounting firms. We present four practical business process scenarios and the prototyped RPA solutions. In each scenario, we explain our automation strategies and the duration of development. We also describe the implementation benefits and challenges, as well as analyze how we have helped the accounting firms automate their real-world audit tasks by providing the as-is and to-be Business Process Model and Notation that one can extend for future RPA development. Finally, we discuss the future challenges and opportunities regarding the broader implementation of RPA in accounting and audit tasks.

Mechanisms for robotic process automation implementation in organizations: a systematic literature review

PurposeThis paper reviews existing research to understand when, how and with what results robotic process automation (RPA) is implemented by organizations.Design/methodology/approachThe authors have identified 84 sources across eight databases and have analyzed them through the lens of a context–intervention–mechanism–outcomes framework (CIMO). The CIMO analysis maps the contextual drivers, intervention approaches and value related outcomes associated with RPA implementation.FindingsThe result of the analysis is the identification of four mechanisms explaining the approach organizations take to implement RPA: digitizing business processes, performing knowledge work together with humans, replacing outsourcing with RPA robots and developing a new business model. Therefore, in this paper, in order to reduce RPA literature fragmentation, the authors take into account the digital transformation (DT) perspective, by considering RPA as one example of digital technology.Practical implicationsThis study sensitize organizational adopters to the different mechanisms they can deploy to conduct RPA implementations to achieve different desired outcomes in response to different drivers. Moreover, having a clear picture of the key enablers and associated barriers to the realization of these alternative paths serve as a useful map to guide the implementation process.Originality/valueThe findings contribute to DT research by conceptualizing these mechanisms through which organizations deploy automation tools—such as RPA.

Process Optimization Using RPA as an Element of change Management in the Organization

Robotic Process Automation (RPA) technology is being used more and more often in small and medium enterprises. This tool is becoming increasingly important in relieving workers from time consuming and boring tasks. The aim of the research was to identify current problems encountered by enterprises when implementing RPA solutions, with particular attention paid to the aspect of change perceived by the employees and the management. As part of the empirical work, monographic research was conducted using the case study procedure in 10 selected small and medium-sized companies operating in Poland. During expert interviews, workers’ resistance against changes was noticed as the greatest obstacle in introducing RPA. Workers’ lack of knowledge about this technology and its tools and the lack of proper change management in organizations are the main factors which impede implementation of RPA. The core actions to success in implementation of software robots are: building awareness among workers, support of leaders, and monitoring of implementation progress.

Retracted: Wireless Control Industrial Robot Processing Irradiation System Based on Artificial Intelligence Technology

Retracted: Wireless Control Industrial Robot Processing Irradiation System Based on Artificial Intelligence Technology

Automated human induced pluripotent stem cell colony segmentation for use in cell culture automation applications

Human induced pluripotent stem cells (hiPSCs) have demonstrated great promise for a variety of applications that include cell therapy and regenerative medicine. Production of clinical grade hiPSCs requires reproducible manufacturing methods with stringent quality-controls such as those provided by image-controlled robotic processing systems. In this paper we present an automated image analysis method for identifying and picking hiPSC colonies for clonal expansion using the CellXTM robotic cell processing system. This method couples a light weight deep learning segmentation approach based on the U-Net architecture to automatically segment the hiPSC colonies in full field of view (FOV) high resolution phase contrast images with a standardized approach for suggesting pick locations. The utility of this method is demonstrated using images and data obtained from the CellXTM system where clinical grade hiPSCs were reprogrammed, clonally expanded, and differentiated into retinal organoids for use in treatment of patients with inherited retinal degenerative blindness.

Advancements in Robotic Systems and Human Robot Interaction for Industry 4.0

Robotic systems are software and algorithms used to mechanize iterative human processes. Robotic Process Automation (RPA) operates based on simple principles and business logic, enabling it to engage with various information systems by using pre-existing graphical user interfaces. The process is the use of non-invasive software robots, often referred to as “bots,” to automate actions that are repetitive in nature and governed by predefined rules. The integration of data analytics, artificial intelligence (AI), process mining, and cognitive computing is now being used to expand the capabilities of RPA, enabling it to do more intricate jobs. This study investigates the progress made in robotic systems and the interaction between humans and robots in Industry 4.0 context. The paper examines the use of RPA, the incorporation of AI into robotic systems, and the advancement of autonomous driving and mobile robots. The study also emphasizes the significance of efficient human-robot interaction strategies and the possible influence of artificial intelligence (AI) on the prospective progress of intelligent and independent service robots. Furthermore, this study delves into the obstacles and forecasts pertaining to the development of sophisticated machine intelligence.

Use of robotic process automation by tax administrations and impact on human rights

In recent years, there have been notable advances in robotic process automation (RPA), especially in cases of integration with commercial transactions in electronic markets. Tax administrations have gathered this experience at the forefront in assuming the new challenges of technologies. However, there are dark regulatory areas in the face of the large amount of data that a tax administration can access through an RPA, whose lack of regulation can violate human rights. This research, precisely, accounts for the problems that can arise from the use of RPA by tax administrations, especially in cases where this type of tool is integrated with artificial intelligence. In this line, the results of this work show that the main difficulties that could arise are related to the transparency of the tax administration acts and possible discriminatory acts in the application of RPA.

Mechanical and physical properties of cement mixtures for 3D processing

In this paper, information about cementitious composite materials for further 3D processing is discussed and supplemented. Many of the research in this area focuses primarily on cement composites suitable for 3D printing. Nevertheless, 3D printing is not the only robotic processing technique. Another such a technology is modelling with the help of a robotic arm, which can be used to create various elements that fulfil their original but also aesthetic function. The robotic arm creates, using a variety of sculptural or hand tools, a final unique relief of a given element. Three different cement composite mixtures are discussed and their mechanical, physical and thermophysical properties are evaluated. The research aims to investigate and optimise these composites for robotic sculpturingand 3D printing.

Design an RPA model for the fulfillment process in an SAP ERP system

ABSTRACT RPA is an emerging technology today. Thanks to this, businesses have saved much time and labor costs. This article aims to improve the performance of employees in creating sales orders on ERP Systems, especially Fiori, a web-based ERP system. The article proposes an RPA framework to support employees in creating sales orders faster than usual. In the article, the Uipath, one of the well-known tools for robotic process automation, is used. Thanks to the UiPath, we design a framework and RPA system to create faster and more effective sales orders. Experimental results show that our robotic process automation system is three times faster than the time it takes for students who are used to the process and manual input for the order and payment process and ten times more than the time taken by students who are not familiar with the process and manual information for the order and payment process.

AI – powered Business Services in the Hyperautomation Era

Abstract Hyperautomation is a business-driven approach, conceptualized in 2019 by Gartner Inc., that combines various technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA) and integrated platforms as a service (iPaas) with the aim of making business processes more efficient by substituting human intervention. Among these, implementations of AI within business services use technologies like Natural Language Processing, Voice and Image Recognition, Virtual Agents, Machine Learning or Deep Learning platforms. Acknowledging this reality, we are interested in developing answers to the following research questions: (1) What are the main categories of business services which integrate specific AI tools? (2) What are the transformed business processes and their operations provided by AI tools? (3) What are the benefits related to AI integrated tools? For this triadic purpose, a systematic literature review on the implementation of Artificial Intelligence in the field of business services was carried out. Only works indexed in the Web of Science database, published in the last 5 years, were selected. Moreover, the websites of the main developers and client companies were investigated. Our findings include a selection of identified AI solutions, structured by main business services categories; we have also outlined the performed tasks and the resulting benefits of each listed AI tool. The synopsis of AI-powered tools presented in the paper could serve professionals, managers and researchers in designing future policies, operational procedures and research approaches to cope with new challenges of disruptive technologies from the AI spectrum.

A lean approach to robotic process automation in banking

Automation is a concept that has been previously introduced in organizations as a means to improve their processes. However, Robotic Process Automation (RPA) is an emerging method to automate processes with software, which the industry calls robots. These robots perform repetitive and low-complexity tasks previously performed by humans in front of a computer which as is known is the most commonly used feature in a company nowadays. Using the Design Science Research methodology to build up this article, it is argued that RPA is being used idly compared to its full potential which would entail using process improvement techniques before applying the automation itself. Thus, this article proposes a new approach to RPA through the use of Lean techniques. This article assesses two market leaders in RPA. It suggests a framework of activities for organizations that are investing in RPA and that want to take advantage of the capabilities currently offered by this technology. The majority of the demonstration proposal was carried out in a Portuguese private bank in three processes. Depending on the different cases, it had an overall positive evaluation in the field or simulations. Comparing RPA and Lean RPA projects in the number of resources (time, FTE) needed to carry out business processes, the latter approach presented values that were significantly lower and, consequently, satisfactory.

Exploring Enterprise Resource Planning (ERP) Development: Challenges, Opportunities and How Can Help Companies Navigate Turbulent Contemporary Times

Abstract The author has carried out a research paper on how ERP systems have evolved, presenting their main characteristics, and conducting a debate between the benefits and challenges but also the opportunities of implementing such a system. Certainly, ERP systems have reached an absolute level of importance over time, being able to be compared with the backbone of the organizations where they are implemented. Research of the available specialized literature was carried out to find gaps in relation to the challenges and opportunities of implementing the three technologies Enterprise Resource Planning, Internet of Things and Artificial Intelligence in a single global system. After the study, it was concluded that by implementing a global system that integrates Enterprise Resource Planning, Internet of Things and Artificial Intelligence but also interconnects all the companies of the same supply flow, organizations can reach the highest level in terms of efficiency, forecast and monitoring but also perfect flexibility by adding Robotic Process Automation to the system. The results of this study complement specialized literature and make an important contribution to the field of study.

An Innovative Future through Robotic Process Automation, a Case Study

Abstract Artificial intelligence and robotic process automation are among the next generation of digital technologies that are transforming the workplace and our daily lives. And digital transformation has become a critical strategy for many businesses and their leadership. In today's fast-paced and ever-changing business environment, the cornerstone of organizational success is innovation. As the business environment is in perpetual modification and development, it requires businesses to be adaptive to both external and internal factors. The instability of the organizational environment increases the necessity and benefits of employee innovation. The authors analyze the extensive literature defining artificial intelligence, focusing on automation and specifically the role robotic process automation has in increasing organizational efficiency, reducing cost, and ensuring quality. In expanding on the scientific literature surrounding robotic process automation, the article analyses a case study of a Romanian tech company whose complex internal technology ecosystem has resulted in a disconnected landscape which required constant multi-system manual intervention in order to ensure process and data cohesion. The authors present the company’s response to the increased consumption of human capital on repetitive tasks that were increasingly subject to errors, in the form of robotic process automation and levels of machine learning and artificial intelligence. In following the progress of the company towards adopting robotic process automation to increase efficiency, speed, accuracy, and security of processes and tasks, the authors identify the benefits of directing human labor towards more meaningful activities and allowing the repetitive tasks to be shifted to robotic labor. The authors followed the progress of a service technology solutions organization that has established an IT intelligent operation ecosystem, with new strategies across various key departments such as finance, human resources, and Internal Audit, followed by their leadership perspective and thinking for the company's next steps in this case study.

Deploying Bots in Healthcare to Find Revenue Cycle Improvements.

Doing more with less has been a business mantra for decades. Healthcare leaders have implemented flex scheduling and job sharing, streamlined workflows, committed to process improvement techniques such as Lean, hired retirees, gained efficiencies from remote work ... and the list goes on. Each tactic has yielded productivity improvements, yet the need to do more with less continues. Postpandemic challenges include staff recruitment and retention, labor inflation, and dwindling margins, all of which must be addressed while maintaining corporate cultures. The journey with bots described here started in this dynamic environment, and the work has not been single-threaded. The organization featured here-an integrated delivery network-has digital front-door and back-end robotic process automation (RPA) projects underway. The digital front-door initiative supports patient self-registration and automates authorizations and insurance verification processes. The back-end patient financial services RPA project replaces and enhances existing technology. Revenue cycle as a multidepartment function is leadership's poster child for RPA, and the revenue cycle team is tasked to demonstrate the value of the technology. This article covers the initial steps and lessons learned in the process.

Finance Business Process Automation using RPA

The paper provides comprehensive analysis of implementing Robotic Process Automation (RPA) in financial processes. It highlights the transformative potential of RPA in enhancing operational efficiency, accuracy, and productivity. The paper discusses the strategic alignment of RPA with business goals, the importance of establishing Automation Centers of Excellence (CoEs), and the selection of suitable processes for automation. It emphasizes the critical role of governance, continuous evaluation, and the integration of RPA with other technologies like OCR for successful implementation in finance operations. The document concludes by underscoring RPA's capacity to optimize finance processes, illustrating its effectiveness through various use cases.

Leveraging Robotic Process Automation (RPA) for End-To-End Testing in Agile and Devops Environments: A Comparative Study

The integration of Robotic Process Automation (RPA) for End-to-End Testing (E2E) procedures within Agile and DevOps approaches is examined in detail in this abstract. The research explores how RPA might revolutionize testing processes by improving productivity, reducing bottlenecks seen in conventional testing methods, and streamlining workflows. This study compares the effectiveness of RPA-enabled E2E testing with traditional approaches, examining aspects including speed, accuracy, scalability, and resource usage. The intricacies of implementing RPA inside Agile and DevOps frameworks are clarified by insights gained from industry case studies and empirical analysis. These insights cover important considerations, best practices, and barriers for effective adoption. The results add to our understanding of how businesses may use RPA in dynamic development settings to improve software quality overall, speed up delivery cycles, and streamline testing lifecycles.

An Analysis of Warehouse Management Systems

Abstract: Warehouse management systems (WMS) are software applications that enable businesses to manage and control warehouse operations, including inventory management, order processing, and transportation management. This research paper provides an analysis of warehouse management systems, highlighting the benefits they offer, the challenges associated with their implementation, and the best practices for efficient and effective use. Warehouse Management Systems (WMS) are an integral part of modern-day warehousing operations. This literature review provides an overview of the current trends, challenges, and opportunities in the WMS field. The review identifies key areas of development, including the impact of Industry 4.0 on warehouse operations, the use of artificial intelligence and machine learning in WMS, and the adoption of cloud-based WMS solutions. The review also highlights challenges associated with WMS implementation, including the need for skilled personnel, data security, and system integration. Finally, the review identifies opportunities for future research, including the development of predictive analytics, the use of blockchain in WMS, and the implementation of robotic process automation.

Sustainable Banking through Robotic Process Automation: What Role does ESG and Cognitive AI play?

This study explores the factors for implementing Robotic Process Automation (RPA) solutions that contribute to the advancement of sustainable banking. The banking industry faces the dual challenge of maximizing operational efficiency while embracing environmental responsibility to align with long-term sustainability objectives in an era of technological advancements and intelligent tools. Employing a qualitative research approach, this study leverages a prominent French bank case study supplemented by semi-structured interviews with bank personnel. Drawing insights from an extensive literature review and interview responses, the findings uncover three factors (Cognitive AI, Environmental, Social, and Governance (ESG) objectives, difficulty of implementing the RPA solution) critical for effectively implementing sustainable RPA within the banking sector. The findings of this research offer practical insights and relevant solutions for promoting sustainability within the banking sector while harnessing the potential of robotic process automation.