Papers

2

Total Citations

10

H-Index

2

About

Meera Radhakrishnan is a researcher advancing the frontier of precise 3D localization for autonomous systems. Her primary research areas center on indoor positioning, LiDAR sensing, and the Internet of Things (IoT), with a specific focus on enabling robust navigation for mobile robots in cluttered, dynamic environments. Radhakrishnan’s major contribution is the development of **LiLoc**, a novel system that leverages multi-perspective LiDAR sensing to achieve accurate 3D localization and tracking. Unlike traditional methods that falter in the presence of moving obstacles or changing layouts, LiLoc maintains high precision even under dynamic conditions, solving a critical bottleneck for real-world deployment of autonomous indoor robots. Her foundational papers on LiLoc have each garnered 5 citations, establishing her as an emerging voice in the field. This work is particularly notable for its practical impact, offering a scalable solution that bridges the gap between laboratory-perfect algorithms and the unpredictable realities of factories, warehouses, and smart buildings. Radhakrishnan’s research is essential reading for anyone engineering the next generation of resilient, location-aware autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
LILOC: Leveraging LiDARs for Accurate 3D Localization in Dynamic Indoor Environments
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Technology Sydney, Agency for Science, Technology and Research

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago