Rechie Ranaisa Dam

Papers

1

Total Citations

9

H-Index

1

About

Rechie Ranaisa Dam is a researcher whose work sits at the intersection of embedded systems, sensor technology, and practical robotics. Her most cited paper, "Determining 2D shape of object using ultrasonic sensor" (2016, 9 citations), demonstrates her early focus on pushing ultrasonic sensing beyond simple distance measurement toward object characterization. In this work, she developed a radar-like ultrasonic system capable of mapping the exact distance and aperture of objects, effectively reconstructing their 2D shape—a notable step forward for low-cost navigation and map-building applications. This contribution is particularly relevant for autonomous systems operating in domestic or commercial environments where precise object geometry aids in collision avoidance and spatial awareness. While her citation count reflects a focused, emerging impact, Dam’s work contributes to the broader effort of making sensor-based perception more accessible and functional. Her research speaks to students and engineers interested in bridging hardware design with algorithmic interpretation, showing how even established technologies like ultrasonics can yield novel insights when applied with ingenuity.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Determining 2D shape of object using ultrasonic sensor
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago