Suleiman Abu Kharmeh
Papers
2
Total Citations
11
H-Index
2
About
Suleiman Abu Kharmeh is a rising researcher in the fields of **indoor localization, autonomous robotics, and low-cost sensing systems**. His work focuses on making precise spatial intelligence accessible without expensive infrastructure, primarily by leveraging ubiquitous WiFi signals. Abu Kharmeh’s major contributions center on **bridging the gap between theoretical signal processing and practical robotic deployment**. His most cited work, "Indoor WiFi-Beacon Dataset Construction Using Autonomous Low-Cost Robot for 3D Location Estimation" (2023, 8 citations), provides a crucial open resource for training machine learning models in complex indoor spaces, addressing a key bottleneck in the field. He further advanced the state of the art with "Triangulation-Enhanced WiFi-Based Autonomous Localization and Navigation System: A Low-Cost Approach" (2024, 3 citations), where he developed novel mathematical models integrating signal strength with triangulation for dynamic, real-time robot positioning. By demonstrating that robust navigation is achievable with minimal hardware, Abu Kharmeh’s research is paving the way for scalable, affordable solutions in warehouse logistics, assistive robotics, and smart environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2