J.S. Suriya Pavithra
Papers
1
Total Citations
2
H-Index
1
About
J.S. Suriya Pavithra is a robotics researcher whose work centers on the critical challenge of path planning for mobile robots, with applications spanning autonomous vehicles and warehouse automation. In her most-cited study, a 2023 comparative analysis, she systematically evaluated five major path planning algorithms—Particle Swarm Optimisation, Genetic Algorithms, A*, and Dijkstra—providing a clear framework for selecting the optimal algorithm based on specific operational constraints. This work has already garnered 2 citations, establishing her as an emerging voice in the field. Her contributions lie in bridging the gap between theoretical algorithm performance and practical robotic deployment, offering engineers and researchers actionable insights for real-world navigation systems. Beyond this study, Pavithra continues to explore optimization techniques that enhance robot autonomy and efficiency. Her research is particularly valuable for students and practitioners seeking to understand trade-offs in path planning, making her a promising figure in the ongoing evolution of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1