Chinthaka Premacandra

Tokyo University of Science, Shibaura Institute of Technology

Papers

2

Total Citations

7

H-Index

2

About

Chinthaka Premacandra is a researcher specializing in autonomous robotics, indoor navigation, and sensor-based positioning systems. His work addresses one of the fundamental challenges in autonomous aerial robotics: accurate self-localization in GPS-denied indoor environments. Recognizing that conventional GPS systems lack the precision required for safe indoor flight, Premacandra has pioneered the development of ultrasonic wave-based positioning and attitude estimation systems tailored specifically for autonomous flying robots. His 2015 paper on position and attitude estimation using ultrasonic waves laid the groundwork for a practical indoor measurement framework, proposing an innovative approach leveraging the spatial relationship between ground-placed ultrasonic transmitters and onboard receivers to determine a robot's location and orientation. Building on this foundation, his 2016 follow-up work focused on refining measurement accuracy, demonstrating a commitment to iterative, applied engineering research. Together, these contributions have accumulated citations within the robotics and autonomous systems community, reflecting their relevance to researchers tackling real-world indoor navigation problems. Premacandra's research represents meaningful progress toward enabling reliable, fully autonomous indoor aerial vehicles, a capability with broad implications for search and rescue, inspection, and warehouse automation applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Position and attitude estimation using ultrasonic waves for autonomous flying robots and system construction
5 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tokyo University of Science, Shibaura Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago