K. V. Geedhu

Papers

Total Citations

H-Index

About

K. V. Geedhu is a researcher specializing in intelligent robotic navigation and adaptive control systems, with a focus on developing sensor-driven solutions for autonomous mobile robots operating in uncertain environments. Their most cited work, "CANFIS Based Robotic Navigation" (2017), introduces a Co-Active Adaptive Neuro-Fuzzy Inference System (CANFIS) that processes infrared sensor data—measuring distances to obstacles on the right, front, and left—to generate collision-free paths in real time. This contribution bridges fuzzy logic and neural networks, enabling robots to adaptively navigate dynamic settings without prior mapping. With 4 citations, this foundational paper has influenced subsequent studies in intelligent robotics and soft computing. Geedhu’s research addresses critical challenges in autonomous navigation, emphasizing robust, sensor-based decision-making for unpredictable terrains. Their work is particularly valuable for students and researchers exploring neuro-fuzzy systems, mobile robotics, and human-robot interaction, offering a practical framework for integrating adaptive intelligence into real-world robotic applications.