Rohan Ravindra Hanagi

Papers

Total Citations

H-Index

About

Rohan Ravindra Hanagi is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and industrial mobile robotics. His most cited paper, "SLAM using AD* Algorithm with Absolute Odometry" (2021), introduces a novel approach that integrates the Anytime Dynamic A* (AD*) pathfinding algorithm with absolute odometry to enhance mapping accuracy and real-time localization in dynamic environments. This contribution directly addresses critical challenges in industrial automation—such as warehouse logistics, assembly line robotics, and smart grid inspection—where reliable navigation is essential. With over two citations for this foundational work, Hanagi’s research demonstrates practical impact by improving the robustness of SLAM systems under real-world constraints. His focus on merging algorithmic efficiency with sensor fusion positions him as a contributor to the next generation of autonomous mobile robots. For students and researchers exploring SLAM or industrial robotics, Hanagi’s work offers a clear bridge between theoretical path planning and deployable solutions for smart manufacturing and infrastructure monitoring.