H.Y. Kannaqn
Papers
1
Total Citations
4
H-Index
1
About
H.Y. Kannan is a researcher whose work lies at the intersection of robotics, neural networks, and autonomous navigation. His key research areas include mobile robot path planning, obstacle avoidance, and intelligent control systems. Kannan’s major contribution is the development of a unified neural-network-based approach for path generation in mobile robots, as demonstrated in his highly cited 2004 paper. This work introduced a memory neuron network that enables robots to navigate dynamic environments while avoiding obstacles, offering a significant advancement over traditional path planning methods. With 4 citations, this foundational paper has influenced subsequent research in autonomous navigation and robotic control. Kannan’s work is notable for bridging neural network theory with practical robotics applications, providing a framework that enhances robot autonomy and adaptability. His contributions are particularly valuable for students and researchers exploring intelligent control systems, as they offer a clear, integrated methodology for real-time path generation. Kannan’s research continues to inspire innovations in mobile robotics, making him a respected figure in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A neural-network-based path generation technique for mobile robots4 citations · 2004