C. Vignesh
Papers
1
Total Citations
8
H-Index
1
About
C. Vignesh is a researcher in autonomous mobile robotics and intelligent navigation systems, with a focus on integrating machine learning and fuzzy logic for real-time decision-making. Their most cited work, "Development of rapidly exploring random tree based autonomous mobile robot navigation and velocity predictions using K-nearest neighbors with fuzzy logic analysis" (2024, 8 citations), introduces a novel hybrid approach that combines Rapidly-exploring Random Tree (RRT) path planning with K-nearest neighbors (KNN) and fuzzy logic to enhance robot navigation and velocity prediction in dynamic environments. This contribution addresses critical challenges in autonomous systems, such as obstacle avoidance and adaptive speed control, offering a computationally efficient solution for real-world applications. Vignesh’s research bridges the gap between theoretical robotics and practical implementation, demonstrating significant impact through early citations that highlight its relevance to the growing field of intelligent automation. Their work is particularly notable for its interdisciplinary approach, merging probabilistic algorithms with data-driven analysis, and has potential applications in warehouse logistics, autonomous vehicles, and service robotics. As a researcher, Vignesh continues to advance the frontiers of mobile robot autonomy, making their contributions valuable for students and practitioners seeking robust, adaptive navigation frameworks.
Research Focus
Key Achievements
Top Papers
- 1