B. Rajesh Kanna

Vellore Institute of Technology University

Papers

2

Total Citations

4

H-Index

2

About

Dr. B. Rajesh Kanna is a robotics researcher whose work centers on advancing autonomous navigation through Simultaneous Localization and Mapping (SLAM) algorithms. His research focuses on improving the computational efficiency and accuracy of SLAM systems, particularly for aerial vehicles operating in complex environments. In his notable 2021 paper, "Parallel FPFH SLAM for Aerial Vehicles," Dr. Kanna introduced a parallelized approach to the Fast Point Feature Histogram algorithm, enabling faster and more reliable mapping for drones. His 2024 study, "Enhancing SLAM efficiency: a comparative analysis of B-spline surface mapping and grid-based approaches," provides a critical evaluation of alternative mapping techniques, offering insights into optimizing SLAM performance. While his citation counts are currently modest, his work contributes to the foundational challenge of making autonomous robot navigation practical for mainstream applications. Dr. Kanna's research is particularly relevant for students and engineers seeking to understand the trade-offs between different SLAM methodologies, and his comparative analyses serve as valuable resources for those developing next-generation autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Parallel FPFH SLAM for Aerial Vehicles
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Vellore Institute of Technology University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago