An Overview on Robot Process Automation: Advancements, Design Standards, its Application, and Limitations

Authors

  • Rajkumar Palaniappan University of Technology Bahrain

DOI:

https://doi.org/10.31449/inf.v48i1.5058

Abstract

In a variety of areas, including healthcare, banking, and manufacturing, repetitive and rule-based processes are automated using robotic process automation (RPA), a fast developing technology. An overview of RPA's, its uses, limitation, and applications are given in this paper. RPA can lower costs, increase process speed, accuracy, and efficiency, and free up staff to concentrate on jobs of higher value. RPA is frequently used for tasks including data input, billing, and customer care. RPA can't, however, execute activities that call for human judgment, decision-making, or creativity, for instance. The adoption of RPA also needs a sizable initial investment and continual maintenance. This paper also touches on a few RPA-related ethical issues, like employment displacement and data privacy. While RPA has a great deal of promise to alter sectors, its deployment can only be successful if its limitations and ethical implications are carefully considered.

Author Biography

Rajkumar Palaniappan, University of Technology Bahrain

Dr. Rajkumar Palaniappan is the Program Head (BSME) and Assistant Professor in Department of Mechatronics Engineering at University of Technology Bahrain. Former VIT Faculty and UTEM post-doctorate. He did his PhD and MSc in Mechatronic Engineering at Universiti Malaysia Perlis (UniMAP), Malaysia. He received his BE degree in Mechatronic Engineering from Anna University, India. His current research involves physiological signal analysis (Respiratory Sound Analysis, EMG and MMG), rehabilitation engineering, assistive technology, Artificial Intelligence and biomedical instrumentation.

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Published

2024-02-28

How to Cite

Palaniappan, R. (2024). An Overview on Robot Process Automation: Advancements, Design Standards, its Application, and Limitations. Informatica, 48(1). https://doi.org/10.31449/inf.v48i1.5058

Issue

Vol. 48 No. 1 (2024)

Section

Overview papers

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