P. Krishnapriya
Papers
1
Total Citations
2
H-Index
1
About
P. Krishnapriya is a robotics researcher whose work centers on the critical challenge of path planning for mobile robots—a field with far-reaching applications from autonomous vehicles to warehouse automation. In her most-cited study, a 2023 comparative analysis, she systematically evaluated five foundational algorithms—Particle Swarm Optimization, Genetic Algorithms, A*, and Dijkstra—providing a clear, practical framework for selecting the right approach for real-world robotic navigation. This work has already garnered attention with 2 citations, establishing her as a rising voice in the optimization of robot motion. Beyond this key paper, Krishnapriya’s research contributes to the broader goal of making autonomous systems more efficient and reliable. Her detailed case study not only benchmarks algorithm performance but also offers actionable insights for engineers and researchers tackling the complexities of dynamic environments. As she continues to explore the intersection of computational intelligence and robotics, her work promises to advance the next generation of smarter, more adaptive mobile robots.
Research Focus
Key Achievements
Top Papers
- 1