Santosh Kumar Sahoo
Papers
4
Total Citations
36
H-Index
3
About
Santosh Kumar Sahoo is a researcher at the forefront of integrating robotics, machine learning, and intelligent automation to solve real-world industrial and environmental challenges. His work primarily spans robotic process automation, machine vision, and data-driven inspection systems. Sahoo’s most cited paper, “Wireless Communication for Robotic Process Automation Using Machine Learning Technique” (2022, 25 citations), explores how machine intelligence can be harnessed to automate complex tasks in sectors like manufacturing and customer support. He has also made notable contributions to quality control, proposing an effective image processing framework for inspecting cylindrical objects (2015, 6 citations), and advancing automated environmental remediation with his work on cloud-based data analytics for coastal cleanup robots using convolutional neural networks (2024, 3 citations). His research consistently emphasizes the synergy between autonomous systems and intelligent data analysis, aiming to maximize efficiency in inspection and operational processes. Sahoo’s work is particularly impactful for students and researchers interested in applied robotics, machine vision, and the practical deployment of AI in automation and sustainability.
Research Focus
Key Achievements
Top Papers
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- 2An effective quality inspection system using image processing techniques6 citations · 2015
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