R. Kranthi Kumar

Rajiv Gandhi University of Knowledge Technologies

Papers

Total Citations

H-Index

About

R. Kranthi Kumar is a researcher specializing in autonomous navigation, robotics, and intelligent systems, with a focus on enabling machines to operate in unstructured and dynamic environments. His major contributions center on the development of ROBOG, an autonomously navigating vehicle designed for unstructured roads—a challenging domain where traditional road detection methods fail due to inaccurate or missing road information. In his most cited work, "ROBOG an autonomously navigating vehicle based on road detection for unstructured road" (2015, 6 citations), Kumar proposed a real-time system for detecting and tracking roads in off-road conditions, integrating subsystems for road detection, path planning, and control. This work addresses critical gaps in autonomous navigation for agricultural, military, and rescue applications. His earlier paper, "ROBOG: Robo guide with simple learning strategy" (2014, 4 citations), introduced a robot that learns terrain geography using an Artificial Neural Network for decision-making, enabling it to guide users through known environments. Though his citation counts are modest, Kumar’s research demonstrates practical, low-cost approaches to autonomous navigation, bridging the gap between theoretical robotics and real-world deployment. His work on learning-based navigation strategies offers valuable insights for students and researchers interested in field robotics and adaptive systems.