scholarly journals ROBOTIC PROCESS AUTOMATION FOR DOCUMENT PROCESSING: A CASE STUDY OF A LOGISTICS SERVICE PROVIDER

2020 ◽  
Vol Vol. 36 (No. 2) ◽  
pp. 119-126
Author(s):  
Valentinas Gružauskas ◽  
Diwakaran Ragavan
Keyword(s):  
Computer Vision ◽  
Research Work ◽  
Flow Diagram ◽  
Manufacturing Companies ◽  
Process Automation ◽  
Personal Lives ◽  
Robotic Process Automation ◽  
Logistics Service ◽  
Digital Reconstruction ◽  
Transportation Logistics

Today we discover ourselves in different transformational periods of human history. Significant as the farming and industrial revolutions before it, this digital reconstruction is redefining various characters of contemporary life throughout the world. Artificial intelligence (AI) represents a frequently fundamental role in this transformation. In modern years, AI has become booming over analysis labs to become omnipresent and ambient in people s personal lives to such a great extent that many purchasers do not recognize people use commodities and applications that contain AI daily. All business areas profit immensely from computer vision and robotic process automation, achieving strides in its adoption from customer segments to companies and manufacturing companies. Logistics is beginning its mission to grow an AI-driven business, though this expectation is still rife with difficulties to succeed and possibilities to exploit. In this respect, the integration of robotic process automation and computer vision is a very lately introduced solution to the real world. This research work is an attempt to examine the benefits and improvement in the supply chain service brought up by automated extraction from documents to the database. It also analyses what computer vision (CV) is, and what it means for the organization to convert robotic process automation (RPA). The best practical examples from other industries can be applied to transportation logistics service by implementing CV. The research work also analyses how RPA and CV can be used in transportation logistics to reinvent back office, operational, and customer and employee facing activities. Also, implementation measures and efficiency have been proposed through the RPA enabled process flow diagram, and cost planning. Lastly, an approximate amount of money that the company can save through the implementation of this project is provided, which can give a competitive advantage to the company.

scholarly journals Deep Robot-Human Interaction with Facial Emotion Recognition Using Gated Recurrent Units & Robotic Process Automation

2020 ◽  
Author(s):  
Suchitra Saxena ◽  
Shikha Tripathi ◽  
Sudarshan Tsb
Keyword(s):  
Emotion Recognition ◽  
Real Time ◽  
Research Work ◽  
Human Interaction ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Process Automation ◽  
Training Time ◽  
Robotic Process Automation ◽  
Gated Recurrent Units

This research work proposes a Facial Emotion Recognition (FER) system using deep learning algorithm Gated Recurrent Units (GRUs) and Robotic Process Automation (RPA) for real time robotic applications. GRUs have been used in the proposed architecture to reduce training time and to capture temporal information. Most work reported in literature uses Convolution Neural Networks (CNN), Hybrid architecture of CNN with Long Short Term Memory (LSTM) and GRUs. In this work, GRUs are used for feature extraction from raw images and dense layers are used for classification. The performance of CNN, GRUs and LSTM are compared in the context of facial emotion recognition. The proposed FER system is implemented on Raspberry pi3 B+ and on Robotic Process Automation (RPA) using UiPath RPA tool for robot human interaction achieving 94.66% average accuracy in real time.

Robot Process Automation (RPA) and Its Future

2022 ◽  
pp. 35-58
Author(s):  
Ozge Doguc
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Vision ◽  
Customer Satisfaction ◽  
Human Behavior ◽  
The Other ◽  
Human Intervention ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Human Agent

Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA offers software robots (bots) that can mimic human behavior. Attended robots work in tandem with humans and can operate while the human agent is active on the computer. On the other hand, unattended robots operate behind locked screens and are designed to execute automations that don't require any human intervention. RPA robots are equipped with artificial intelligence engines such as computer vision and machine learning, and both robot types can learn automations by recording human actions.

Robot Process Automation (RPA) and Its Future

2020 ◽  
pp. 469-492
Author(s):  
Ozge Doguc
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Vision ◽  
Customer Satisfaction ◽  
Human Behavior ◽  
The Other ◽  
Human Intervention ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Human Agent

Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA offers software robots (bots) that can mimic human behavior. Attended robots work in tandem with humans and can operate while the human agent is active on the computer. On the other hand, unattended robots operate behind locked screens and are designed to execute automations that don't require any human intervention. RPA robots are equipped with artificial intelligence engines such as computer vision and machine learning, and both robot types can learn automations by recording human actions.

Robotic process automation in healthcare-a review

2019 ◽  
Vol 5 (1) ◽  
pp. 12-14
Author(s):  
Roheet Bhatnagar ◽  
Rishabh Jain
Keyword(s):  
Process Automation ◽  
Robotic Process Automation

scholarly journals The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic

2021 ◽  
Vol 13 (14) ◽  
pp. 8020
Author(s):  
Julia Siderska
Keyword(s):  
Technology Implementation ◽  
Business Processes ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Decision Makers ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Service Companies ◽  
Automation Technology ◽  
Practical Implications

The study provides knowledge on the adoption of the Robotic Process Automation (RPA) technology during the COVID-19 pandemic in 110 Polish service companies. As this research was the first of its kind in Poland, the objectives of the CAWI survey were to identify the technology features of the RPA technology and the related determinants and barriers influencing the adoption of the RPA as well as to determine correlations between them. Moreover, the statistical analyses involved considering whether there were differences in the evaluation of individual RPA technology features, mainly in terms of perceived usefulness, ease of use, security and functionality. The results of the study show that almost 60% of the respondents indicated that robotization tools allowed maintaining continuity of business processes during the pandemic. The highest rated were features related to usefulness of the RPA technology. Furthermore, the analysis pointed to the most frequently indicated barriers to technology implementation that were related to nonoptimized, nonstandardized and non-digitized processes with a large number of exceptions. The study contributes to scientific knowledge and has practical implications for process automation decision-makers concerned with the adoption of the Robotic Process Automation technology. The obtained results can help them to understand the potential drivers of and barriers to the adoption of software robots by enterprises and may be an important determinant for companies’ managers in the field of implementing such solutions.

scholarly journals Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 430
Author(s):  
Diana Elena Micle ◽  
Florina Deiac ◽  
Alexandru Olar ◽  
Raul Florentin Drența ◽  
Cristian Florean ◽  
...  
Keyword(s):  
Performance Metrics ◽  
Critical Factor ◽  
Remote Work ◽  
Process Automation ◽  
Continuous Training ◽  
Robotic Process Automation ◽  
Focus Group Meeting ◽  
Information And Communication ◽  
Cattle Farming ◽  
Agricultural Business

Integrating livestock management with the required devices and sensors is now seen as a critical factor in the agricultural sector’s long-term success. The findings revealed that the agricultural business sector is open to implementing Information and Communication Technology (ICT) solutions, so the aim of this paper is to determine how advantageous it is for Romanian farmers to invest in a project that employs smart cattle farming methods that incorporate Artificial Intelligence (AI), Robotic Process Automation (RPA) and the Internet of Things (IOT). An unstructured interview was used to gather empirical evidence during a focus group meeting. Analyzing the selected primary performance metrics, it was projected that the farm’s profitability would increase by 19 percent, productivity would increase by 21 percent, and the farm’s environmental impact would decrease by 22 percent. Automation and remote work would help minimize the farm’s worker burden while also making control panels, decision-making files, and data analysis more available. In order for the domain to be as prosperous as possible, farmers must be made aware of the benefits of using these emerging technologies for closing the gap between farmers and Information Technology (IT) solution providers, and this can be accomplished through continuous training for both farmers and their technology vendors.

USO DE ROBOTIC PROCESS AUTOMATION PARA OTIMIZAÇÃO DE PROCESSOS DE CENTROS DE SERVIÇOS COMPARTILHADOS

2021 ◽  
Author(s):  
Petterson Maxwell Rosa da Silva ◽  
José Roberto Dale Luche ◽  
Jean Miler Scatena ◽  
Reinaldo Batista Leite
Keyword(s):  
Process Automation ◽  
Robotic Process Automation
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