Ravishankar Palaniappan

Papers

2

Total Citations

50

H-Index

2

About

Ravishankar Palaniappan is a researcher whose work sits at the intersection of robotics, wireless communications, and indoor positioning systems. His research focuses primarily on autonomous robotic systems and radio-frequency (RF)-based indoor localization, addressing one of the most persistent challenges in modern navigation: accurately determining position in GPS-denied indoor environments. Among his notable contributions, Palaniappan has advanced the field of RF fingerprinting — a technique that leverages existing WiFi infrastructure to build signal-strength databases for precise indoor localization and tracking. His 2012 paper on depth camera SLAM applied to a low-cost WiFi mapping robot (30 citations) demonstrated how affordable robotic platforms could automate the labor-intensive process of collecting signal measurements, eliminating the need for manual surveying. Building on this, his 2011 work on autonomous RF surveying robots (20 citations) further established frameworks for scalable, minimally disruptive indoor tracking systems. Palaniappan's research is particularly impactful for its practical orientation — designing solutions that work within existing telecommunications infrastructure, reducing deployment costs and complexity. His contributions appeal to researchers and engineers working on smart buildings, emergency response navigation, and assistive robotics, making him a meaningful voice in the evolving landscape of indoor positioning technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
50
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Depth camera SLAM on a low-cost WiFi mapping robot
30 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago