• Information Systems Review
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• v.21 no.4
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• pp.157-173
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• 2019

Robotic Process Automation (RPA) has attracted great attention from diverse home and foreign industries. To provide lessons learned and action principles based on real RPA adoption and application experiences, various case studies have been conducted. However, lacking is an investigation of public sector for RPA adoption, especially in Korea. To reduce the research gap, this study presents a case study of RPA adoption by a representative Korean ICT public organization, NIA (National Information society Agency). By automating a core process, entering a document to a governmental portal service, NIA has achieved various management performances in terms of cost, operation, and business impacts. Especially, by relieving four types of rigidity of public institutions (i.e. structure, human resource, tasks, and rules), Our case study result suggests that RPA enables public institutes to overcome obstacles of pursuing digital transformation. Implications and limitations for future public RPA adopters are offered.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.4
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• pp.60-69
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• 2022

To keep pace with Industry 4.0, it is imperative for companies to redesign their working environments by adopting robotic automation systems. Automation lines are facilitating the latest cutting-edge technologies, such as 3D vision and industrial robots, to outdo competitors by reducing costs. Considering the nature of the manufacturing industry, a time-saving workflow and smooth linkwork between processes is vital. At Dellics, without any additional new installation in the automation lines, only a few improvements to the working process could raise productivity. Three requirements are the development of gripping technology by utilizing a 3D vision system for the recognition of the material shape and location, research on lighting projectors to target long distances and high illumination, and testing of algorithms/software to improve measurement accuracy and identify products. With some of the functional requisites mentioned above, improved robotic automation systems should provide an improved working environment to maximize overall production efficiency. In this article, the ways in which such a system can become the groundwork for establishing an unmanned working infrastructure are discussed.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.163-170
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• 2022

With the advent of the 4th Industrial Revolution, solutions that apply AI technology are being actively developed. Since 2017, the introduction of business automation solutions using AI-based Robotic Process Automation (RPA) has begun in the financial sector and insurance companies, and recently, it is entering a time when it spreads past the stage of introducing RPA solutions. Among the business automation using these RPA solutions, it is very important how accurately textual information in the document is recognized for business automation using various documents. Such character recognition has recently increased its accuracy by introducing deep learning technology, but there is still no recognition model with perfect recognition accuracy. Therefore, in this paper, we checked how much accuracy is improved when pre- and post-processor technologies are applied to deep learning-based character recognition engines, and implemented RPA recognition engines and linkage technologies.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.237-240
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• 2003

Gas turbines are extensively used in flight propulsion, electrical power generation, and other industrial applications. During its life span, a turbine blade is taken out periodically for repair and maintenance. This includes re-coating the blade surface and re-drilling the cooling holes/channels. A successful laser re-drilling requires the measurement of a hole within the accuracy of ${\pm}0.15mm$ in position and ${\pm}3^{\circ}$ in orientation. Detection of gas turbine blade/vane cooling hole position and orientation thus becomes a very important step for the vane/blade repair process. The industry is in urgent need of an automated system to fulfill the above task. This paper proposes approaches and algorithms to detect the cooling hole position and orientation by using a vision system mounted on a robot arm. The channel orientation is determined based on the alignment of the vision system with the channel axis. The opening position of the channel is the intersection between the channel axis and the surface around the channel opening. Experimental results have indicated that the concept of cooling hole identification is feasible. It has been shown that the reproducible detection of cooling channel position is with +/- 0.15mm accuracy and cooling channel orientation is with +/$-\;3^{\circ}$ with the current test conditions. Average processing time to search and identify channel position and orientation is less than 1 minute.

• The Journal of Korea Robotics Society
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• v.17 no.4
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• pp.387-396
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• 2022

Logistics industry still heavily relies on human labor in many field processes. However, robot applications in logistics are rapidly increasing, encouraged by technological progresses in robotics and cheaper robot solutions from competition between robot suppliers. Effectiveness of logistics automation are higher productivity for cost reduction and increased process capabilities for better profit, which is witnessed in many fields of logistics industry. In this paper, differences in logistics services - contract logistics, parcel, and fulfillment - are addressed, and characteristics and issues in application of various kinds of logistics robots such as AGV, AMR, ASRS, box/piece handling robots and robotic wearable devices are discussed. The advantages from flexibility and scalability of logistics automation by robots will benefit the future logistics business.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.2_2
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• pp.247-255
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• 2022

Robot Process Automation (RPA) is a computer technology called Robotic Process Automation, a form of business process automation based on the concept of software robots or artificial intelligence (AI) walkers. In general, in traditional workflow automation tools, software developers design software that creates a set of actions to automate tasks and interfaces for the back-end systems using internal APIs or dedicated script languages. However, in RPA software, automation can be implemented by configuring an operating processor as if the general user is directly performing the task of the application. In other words, it can be said that it is a suitable development method for automating simply repetitive tasks rather than developing specific programs in which all necessary functions are implemented, as in general software development. Thus, this is more appropriate for configuring and automating RPA software in traditional manufacturing companies that are not easy to develop and apply smart factories or high-end AI software. Therefore, this research aims to analyze the requirements required at the actual manufacturing companies, focusing on the manufacturer's case in Changwon, Gyeongsangnam-do, called SinceWin Co., Ltd., and to examine the possibility of RPA software in the manufacturing companies by implementing actual RPA software that supports office automation. Through the research, it was confirmed that the actually implemented RPA software met the requirements of the company and helped manufacturer practice significantly by automating the parts that were worked error-prone and manually periodically.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.930-935
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• 2019

Our proposed system, MobiAutoBot, is a conceptual model of robotics process automation software at a cognitive automation level that can support mobile devices. MobiAutoBot consists of two parts: MobiAutoBot controller and MobiAutoBot runner. The MobiAutoBot controller directs, monitors, and interacts the Job on the mobile device, and the MobiAutoBot runner installed on the mobile device performs the commanded operation. If we provide automation for mobile devices to small businesses through our proposed MobiAutoBot, we can build low-cost robotic process automation functions that can be linked to existing information systems with mobile devices such as simple smartphones, even without an expensive information-based infrastructure. Our proposal is expected to serve as an opportunity to spread automation of robotics processes even to small and medium-sized companies and individual users who are difficult to equip with all information system infrastructure.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.317-319
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• 2021

Throughout the era of the fourth industrial revolution, automation is becoming more important. Recently, business automation solutions using Robotic Process Automation (RPA) are also attracting attention. Compared to the rapidly growing RPA market, related IT technologies have not been widely available and problems such as manpower shortage are growing. Therefore, this study identifies the definition and characteristics of RPA, classification by type of operation, and the impact of RPA solutions and introduction, which have significant impact on the enterprise in a short period of time. In addition, we present the development direction of RPA through implications.

• Advances in robotics research
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• v.2 no.3
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• pp.201-217
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• 2018

Agriculture production is a critical human intensive task, which takes place in all regions of the world. The process to grow and harvest crops is labor intensive in many countries due to the lack of automation and advanced technology. Much of the difficult, dangerous and dirty labor of crop production can be automated with intelligent and robotic platforms. We propose an intelligent, agent-oriented robotic team, which can enable the process of harvesting, gathering and collecting crops and fruits, of many types, from agricultural fields. This paper describes a novel robotic organization enabling humans, robots and agents to work together for automation of gathering and collection functions. The focus of the research is a model, called HARMS, which can enable Humans, software Agents, Robots, Machines and Sensors to work together indistinguishably. With this model, any capability-based human-like organization can be conceived and modeled, such as in manufacturing or agriculture. In this research, we model, design and implement a technology application of knowledge-based robot-to-robot and human-to-robot collaboration for an agricultural gathering and collection function. The gathering and collection functions were chosen as they are some of the most labor intensive and least automated processes in the process acquisition of agricultural products. The use of robotic organizations can reduce human labor and increase efficiency allowing people to focus on higher level tasks and minimizing the backbreaking tasks of agricultural production in the future. In this work, the HARMS model was applied to three different robotic instances and an integrated test was completed with satisfactory results that show the basic promise of this research.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.435-436
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• 2021

본 논문에서는 RPA(Robotic Process Automation) Tool 개발 과정 중 OCR기법을 활용한 영수증 인식 후 가계부 생성에 관한 자동화 처리 과정을 기술한다. 개발된 RPA 툴은 AI분야에 사용될 데이터의 데이터 전처리 기능을 제공하고 그 외에 반복적으로 사용되는 기능들의 자동화를 제공한다. 그 중 영수증을 이용하여 가계부 작성을 자동으로 처리해주는 기능은 반복적이고 시간이 많이 소요되는 작업으로 이 기능을 활용하면 작업의 수행시간을 단축하고 효율적인 관리가 가능하다.