H.N. Harsha

M S Ramaiah University of Applied Sciences

Papers

Total Citations

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About

H.N. Harsha is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots operating in complex, real-world environments. His most cited contribution, "Normal Probability and Heuristics based Path Planning and Navigation System for Mapped Roads" (2016), addresses a critical challenge in robotics: enabling a robot to efficiently select an optimal route within a hybrid road network where multiple paths lead to the same destination. By integrating normal probability distributions with heuristic search methods, Harsha developed a system that leverages prior geographical knowledge to improve decision-making during navigation. This work has garnered 3 citations, reflecting its niche but practical relevance to the field of autonomous vehicle guidance. Harsha’s research sits at the intersection of probabilistic modeling and heuristic algorithms, offering a systematic approach to reducing computational complexity in path selection. His contributions are particularly valuable for applications in logistics, service robotics, and intelligent transportation systems, where reliable and efficient navigation is paramount. Through his focused exploration of mapped road environments, Harsha continues to advance the foundational techniques that enable robots to move safely and intelligently through human-centric spaces.