S Mohamed Kaleemuddin

Papers

Total Citations

110

H-Index

About

S. Mohamed Kaleemuddin is a researcher specializing in robotics, sensor technology, and autonomous navigation systems. His most impactful work centers on evaluating low-cost sensing solutions for obstacle detection and avoidance in vehicle and robot navigation. His highly cited 2016 paper, "Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/robot navigation applications," has garnered 110 citations, establishing a foundational reference for engineers and researchers selecting appropriate sensors for real-world robotic platforms. This study systematically compared the accuracy and reliability of ultrasonic and infrared measurements across various obstacle materials, providing critical guidance for cost-effective navigation system design. Kaleemuddin’s contributions help bridge the gap between theoretical sensor models and practical deployment constraints, influencing fields from mobile robotics to autonomous vehicles. His work is particularly valued for its applied focus, enabling more robust and affordable navigation solutions. Through this research, he has supported the development of smarter, safer autonomous systems, making him a notable figure in sensor-based robotics.