Gautham Anand Kumar Karri

Papers

Total Citations

H-Index

About

Gautham Anand Kumar Karri is a researcher whose work lies at the intersection of robotics, geospatial analysis, and military operations. His primary contributions focus on developing path planning algorithms for unmanned ground robots (UGRs) and autonomous agents operating in high-risk combat environments. In his most-cited works, including "Determination of robot drop location for military path planning using GIS application" and "A military path planning algorithm using visualization and dynamic GIS" (both 2010, with 4 citations each), Karri addresses critical challenges in military robotics—such as safe navigation, fatality reduction, and efficient reconnaissance. He pioneered the integration of dynamic GIS and visualization tools to create the Military Path Planning Algorithm (MPPA), enabling autonomous agents to plan safe, efficient routes using only digital terrain data. Though his citation counts are modest, his work is notable for its early and practical application of GIS in military robotics, contributing to safer autonomous operations in combat zones. Karri’s research remains relevant for students and engineers exploring the convergence of geospatial intelligence and unmanned systems in defense.