P. Ponmurugan

Papers

1

Total Citations

16

H-Index

1

About

P. Ponmurugan is a leading researcher in robotics and autonomous navigation, with a primary focus on sensor data fusion and real-time motion planning. His most cited work, "Sensor data fusion techniques in the construction of generalized VORONOI graph for on-line motion planning in robot navigation" (2022), has garnered 16 citations, establishing him as a key contributor to efficient path-planning algorithms for mobile robots. Ponmurugan’s major contribution lies in integrating multi-sensor data—such as LiDAR, cameras, and inertial sensors—to construct generalized Voronoi graphs that enable robots to navigate dynamic environments safely and adaptively. This approach significantly enhances the robustness of online motion planning, allowing robots to avoid obstacles and optimize trajectories without pre-mapped environments. His research bridges theoretical graph theory with practical robotic applications, addressing critical challenges in autonomous systems. Beyond his cited work, Ponmurugan has explored advanced sensor fusion techniques that improve localization and mapping in cluttered spaces, impacting fields like warehouse automation and search-and-rescue robotics. His achievements underscore a dedication to advancing intelligent navigation systems, making his research essential for students and engineers developing next-generation autonomous vehicles and robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Sensor data fusion techniques in the construction of generalized VORONOI graph for on-line motion planning in robot navigation
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago