Umamaheswara Rao Mogili

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Umamaheswara Rao Mogili is a researcher specializing in robotics, path planning, and agricultural automation. His work focuses on developing intelligent algorithms for mobile robot navigation in complex environments, with a particular emphasis on nature-inspired meta-heuristic approaches. Mogili’s most cited paper, “Optimal path planning of mobile robot using the hybrid cuckoo–bat algorithm in assorted environment” (2018, 17 citations), introduces a novel hybrid algorithm combining cuckoo-search and bat algorithms to achieve efficient and robust path planning in unknown or partially known settings—a critical contribution to autonomous robotics. He also authored “Agribots Concepts and Operations—A Review” (2022, 3 citations), which explores the integration of robotic systems in agriculture, highlighting their potential to revolutionize farming through precision tasks like seeding, weeding, and harvesting. Mogili’s work bridges theoretical algorithm development and practical applications, demonstrating impact in both robotics and agri-tech. His hybrid optimization approach offers a scalable solution for real-world challenges, making his research valuable for students and engineers advancing autonomous systems.