Soumya Ranjan Sahu

Veer Surendra Sai University of Technology

Papers

Total Citations

H-Index

About

Soumya Ranjan Sahu’s research lies at the intersection of robotics, control systems, and machine learning, with a focus on autonomous navigation and agricultural AI. His most cited work, “Neural network approach to control wall-following robot navigation” (2014, 16 citations), addresses a fundamental challenge in robotics: enabling efficient, intelligent navigation from source to destination. By developing a neural network-based controller, Sahu demonstrated how adaptive learning can replace traditional rule-based approaches, improving a robot’s ability to follow walls and avoid obstacles in dynamic environments—a contribution that has informed subsequent studies in autonomous mobile robotics. More recently, Sahu has applied machine learning to agriculture, co-authoring “A Machine Learning Approach for Classification of Lemon Leaf Diseases” (2022, 3 citations), which explores computer vision techniques for early disease detection. This work highlights his versatility in bridging theoretical AI with practical, real-world problems. While his citation counts reflect a growing but early-stage impact, Sahu’s research offers a clear trajectory: from foundational neural control in robotics to modern deep learning applications in precision agriculture, making his work relevant for students and researchers interested in adaptive systems and interdisciplinary AI.