UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2404048


Registration ID:
535951

Page Number

a356-a360

Share This Article


Jetir RMS

Title

Computers In Industry Hybridizing Humans And Robots: An RPA Horizon Envisaged From The Trenches

Abstract

Hybrid Robotic Process Automation (RPA) emerges as a promising paradigm in automation, blending the strengths of both traditional RPA and cognitive technologies. This paper provides a comprehensive review of the state-of-the-art in hybrid RPA, synthesizing insights from scholarly articles, industry reports, and case studies. The review encompasses key concepts, architectures, implementation approaches, benefits, challenges, and future directions of hybrid RPA.The analysis reveals that hybrid RPA combines rule-based automation with advanced cognitive capabilities such as natural language processing, machine learning, and computer vision, enabling organizations to automate complex, cognitive tasks that were previously beyond the scope of traditional RPA. By leveraging this fusion, businesses can achieve higher levels of efficiency, accuracy, and scalability in their operations while also enhancing customer experiences. Half and half RPA alludes to the blend of conventional Mechanical Interaction Computerization (RPA) with other trend setting innovations like man-made reasoning (simulated intelligence), AI (ML), normal language handling (NLP), and mental mechanization. By incorporating these cutting edge innovations with RPA, associations can improve the capacities of their robotization answers for handle more intricate and mental undertakings that include unstructured information or require critical thinking skills past straightforward rule-based mechanization.By integrating the advanced technologies with RPA, organizations can enhance the capabilities of their automation solutions to handle more complex and cognitive tasks that involve unstructured data or require decision-making abilities beyond simple rule-based automation. In recent years, Robotic Process Automation (RPA) has emerged as a transformative technology for automating repetitive tasks within business processes. However, the limitations of traditional RPA in handling unstructured data and complex decision-making scenarios have prompted the development of hybrid RPA systems.

Key Words

Attended robotic process automation, Bench marking, Cognitive capabilities, Robotic process automation

Cite This Article

"Computers In Industry Hybridizing Humans And Robots: An RPA Horizon Envisaged From The Trenches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a356-a360, April-2024, Available :http://www.jetir.org/papers/JETIR2404048.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Computers In Industry Hybridizing Humans And Robots: An RPA Horizon Envisaged From The Trenches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa356-a360, April-2024, Available at : http://www.jetir.org/papers/JETIR2404048.pdf

Publication Details

Published Paper ID: JETIR2404048
Registration ID: 535951
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: a356-a360
Country: Thrissur, Kerala, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00030

Print This Page

Current Call For Paper

Jetir RMS