Jagannath Sahu

Papers

Total Citations

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About

Jagannath Sahu is a researcher whose work lies at the intersection of robotics, fuzzy logic systems, and intelligent control. His most notable contribution is the development of a fuzzy logic-based framework for selecting optimal mobile robot models, a critical step in enhancing autonomous navigation and decision-making in uncertain environments. This foundational work, published in 2015, has garnered 7 citations, reflecting its relevance to researchers seeking adaptive, rule-based solutions for robotic system design. Sahu’s approach demonstrates how fuzzy logic can effectively handle the imprecision inherent in real-world robotic applications, offering a systematic method for model selection that balances performance and computational efficiency. Beyond this key paper, his research interests extend to soft computing techniques and their integration into mobile robotics, aiming to improve path planning, obstacle avoidance, and overall system robustness. Sahu’s work serves as a practical reference for students and engineers exploring fuzzy control methodologies, and his contributions continue to influence the development of more intelligent, adaptable mobile robots.