Navya Prasad

M S Ramaiah University of Applied Sciences

Papers

1

Total Citations

3

H-Index

1

About

Navya Prasad is a researcher in mobile robotics, specializing in path planning and navigation systems for complex road networks. Her work addresses the fundamental challenge of enabling autonomous robots to efficiently traverse hybrid road environments where multiple routes exist to the same destination. In her most-cited paper, "Normal Probability and Heuristics based Path Planning and Navigation System for Mapped Roads" (2016), Prasad introduced a novel approach that combines probabilistic modeling with heuristic search strategies to optimize route selection. This method leverages prior geographical knowledge to improve navigation accuracy and efficiency, helping robots make intelligent decisions in real-time. While her citation count of 3 reflects the specialized nature of her early work, her contributions are significant for advancing autonomous navigation in semi-structured environments. Prasad's research bridges the gap between theoretical path planning algorithms and practical implementation for mobile robots operating on mapped roads, laying groundwork for future developments in intelligent transportation and autonomous vehicle systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Normal Probability and Heuristics based Path Planning and Navigation System for Mapped Roads
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: M S Ramaiah University of Applied Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago