Lakshmi Shrinivasan
Papers
1
Total Citations
3
H-Index
1
About
Lakshmi Shrinivasan’s research lies at the intersection of robotics, autonomous navigation, and intelligent path planning, with a focus on enabling mobile robots to operate effectively in complex, real-world environments. Her most cited work, “Normal Probability and Heuristics based Path Planning and Navigation System for Mapped Roads” (2016), addresses a fundamental challenge in robotics: selecting optimal routes in hybrid road networks where multiple paths lead to the same destination. By integrating normal probability distributions with heuristic algorithms, she developed a navigation framework that leverages prior geographical knowledge to improve decision-making and efficiency. This contribution is particularly valuable for autonomous systems operating in dynamic, mapped environments, offering a practical solution to the classic path-planning problem. While her citation count of 3 reflects the specialized nature of her work, it underscores her role in advancing foundational techniques for mobile robot navigation. Shrinivasan’s research is a stepping stone for students and engineers seeking to understand how probabilistic and heuristic methods can be combined to create robust, real-time navigation systems—a critical component of modern robotics and autonomous vehicle technology.
Research Focus
Key Achievements
Top Papers
- 1