SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM

September 2020
Vol-6, Issue-5
Paper ID: 12682
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Applications
Keywords
Robots RPA Intelligent Process Automation Concept of Bots Software Robots.
Abstract
RPA, or Robotic Process Automation, is software that mimics the steps a human takes to complete rules-based, repetitive tasks. The robot carries out work with speed and precision, utilizing the same applications your employees use every day. In traditional automation, all the actions are primarily based on the programming/scripting, APIs or other ways of integration methods to the backend systems or internal applications. In distinction, RPA automates software that can migrate the work from the human to the computer which can stop paying humans to do work ripe for automation, faster front and back office transaction processing, near “Instant On” integration at the lowest cost, optimization of User Interface to drive long call/transaction times down, accelerate digital transformation objectives, eliminate errors thereby improving productivity by making workers smarter. Within digital transformation, which is continuously progressing, robotic process automation (RPA) is drawing much corporate attention. While RPA is a popular topic in the corporate world, the academic research lacks a theoretical and synoptic analysis of RPA. The Robotic Process Automation (RPA) is a new wave of the future technologies. Robotic Process Automation is one of the most advanced technologies in the area of computers science, electronic and communications, mechanical engineering and information technology. It is a combination of hardware and software, networking and automation for doing things very simple.

Author Information

# Name Institute / Affiliation
1 Dr.T.GEETHA Gnanamani College of Technology, Tamil Nadu, India
2 Ms. A. MALINI Gnanamani College of Technology, Tamil Nadu, India
3 Ms. M. INDHUMATHI Gnanamani College of Technology, Tamil Nadu, India

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dr.T.GEETHA, MALINI, Ms. A., & INDHUMATHI, Ms. M. (2020). SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 6(5), 384-390.
MLA Style
Dr.T.GEETHA, et al. "SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, 2020, pp. 384-390.
IEEE Style
Dr.T.GEETHA, Ms. A. MALINI, and Ms. M. INDHUMATHI, "SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, pp. 384-390, 2020.
Vancouver Style
Dr.T.GEETHA, MALINI Ms. A., INDHUMATHI Ms. M.. SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(5):384-390.
Harvard Style
Dr.T.GEETHA, MALINI, Ms. A., & INDHUMATHI, Ms. M. (2020) 'SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 6(5), pp. 384-390.
Chicago Style
Dr.T.GEETHA, Ms. A. MALINI, and Ms. M. INDHUMATHI. "SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 384-390.
Turabian Style
Dr.T.GEETHA, Ms. A. MALINI, and Ms. M. INDHUMATHI. "SPEED AND PRECISION OF ROBOTIC PROCESS AUTOMATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 384-390.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable