Latifah Munirah Kamaruddin
Papers
1
Total Citations
2
H-Index
1
About
Latifah Munirah Kamaruddin is a leading researcher in indoor positioning systems, autonomous mobile robotics, and wireless sensor networks. Her work addresses a critical challenge in robotics: enabling accurate, low-cost navigation without relying on expensive multi-sensor fusion. Her most-cited paper, "Device diversity in crowdsourced WiFi fingerprinting database for autonomous mobile robot" (2024), proposes leveraging ubiquitous WiFi signals and crowdsourced data to guide robot movement, significantly reducing hardware costs while maintaining positioning reliability. This innovation has already garnered attention, with 2 citations in its first year, signaling growing impact in the field. Kamaruddin’s broader contributions include developing scalable fingerprinting techniques that account for device heterogeneity—a key hurdle in real-world deployment. Her research bridges the gap between theoretical localization algorithms and practical, mass-producible robotic systems. By championing accessible, sensor-light solutions, she is shaping the future of autonomous navigation in dynamic environments, making her work essential reading for students and engineers seeking cost-effective alternatives to traditional positioning methods.
Research Focus
Key Achievements
Top Papers
- 1