Alexander Feldman
Papers
2
Total Citations
14
H-Index
2
About
Alexander Feldman is a leading researcher in Ultra-Wideband (UWB) localization for mobile robotics, with a focus on enabling precise positioning in GPS-denied environments. His major contributions center on the design, development, and benchmarking of UWB-based systems that integrate digital and RF hardware, embedded software, and advanced localization algorithms. Feldman’s work addresses critical challenges in reliability, security, and electromagnetic integration, providing foundational frameworks for asset tracking and autonomous navigation. His two most-cited papers, each garnering 7 citations, include "Modeling and benchmarking Ultra-Wideband localization for mobile robots" and "Toward the Deployment of an Ultra-Wideband Localization Test Bed," which together offer practical guidance for hardware and software designers aiming to advance UWB technology. Notably, his research bridges theory and real-world deployment, making him a key figure in the evolution of robust, scalable localization systems. Feldman’s contributions are essential reading for students and engineers exploring next-generation robotic positioning.
Research Focus
Key Achievements
Top Papers
- 1Modeling and benchmarking Ultra-Wideband localization for mobile robots7 citations · 2012
- 2Toward the Deployment of an Ultra-Wideband Localization Test Bed7 citations · 2011