K. Shri Vignesh
Papers
1
Total Citations
13
H-Index
1
About
K. Shri Vignesh is a researcher at the forefront of intelligent robotics and autonomous navigation, with a primary focus on path planning for mobile robots. His most cited work, "Path Planning for Mobile Robots using Deep Learning Architectures" (2021), has garnered 13 citations and addresses a critical challenge in modern robotics: enabling machines to navigate complex, dynamic environments without human intervention. By integrating deep learning architectures into traditional path planning, Vignesh’s research offers a faster, more adaptive alternative to conventional algorithms, directly supporting the deployment of robots in high-stakes settings like hospitals, defense, and agriculture. His contributions are particularly notable for bridging the gap between theoretical AI models and practical robotic applications, making autonomous systems more reliable and efficient. Vignesh’s work is essential reading for students and researchers interested in the intersection of deep learning and robotics, as it lays the groundwork for smarter, more responsive machines that can operate safely alongside humans.
Research Focus
Key Achievements
Top Papers
- 1Path Planning for Mobile Robots using Deep Learning Architectures13 citations · 2021