Papers
2
Total Citations
9
H-Index
2
About
R. Karthik is a robotics researcher specializing in autonomous navigation, localization, and control systems for mobile robots. Their work focuses on enabling robots to operate effectively in complex, real-world environments without relying on expensive sensors or infrastructure. Karthik's most cited paper, "Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment" (2024, 7 citations), introduces a novel control strategy that allows robots to navigate accurately without wheel encoders, significantly reducing hardware costs while maintaining performance—a critical advancement for scalable warehouse automation. In "ViT VO - A Visual Odometry technique Using CNN-Transformer Hybrid Architecture" (2023, 2 citations), Karthik pioneers a hybrid deep learning approach that combines Convolutional Neural Networks with Vision Transformers for robust visual odometry, improving localization accuracy for autonomous agents in GPS-denied settings. Their contributions bridge practical engineering challenges with cutting-edge AI, offering cost-effective solutions for logistics, surveillance, and service robotics. With growing citation impact, Karthik's work is shaping the next generation of intelligent, self-navigating systems.
Research Focus
Key Achievements
Top Papers
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- 2