Irvin Quartey

Papers

Total Citations

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About

Irvin Quartey is a researcher whose work sits at the intersection of robotics, wireless communications, and autonomous navigation, with a particular focus on solving localization challenges in complex, unknown environments. His most-cited paper, "RSS-Based Localization using A Single Robot in Complex Environments" (2022), tackles the fundamental problem of locating a static transmitter using minimal hardware—a single receiving antenna and a single communication channel. This is a significant departure from traditional approaches that rely on expensive, multi-antenna systems for Time-of-Arrival or Angle-of-Arrival estimation. Quartey’s contribution lies in demonstrating that Received Signal Strength (RSS) data, often considered too noisy for precise localization, can be effectively leveraged with robotic mobility to achieve reliable positioning in cluttered, non-line-of-sight settings. This work has implications for search-and-rescue, environmental monitoring, and IoT device localization, where hardware constraints are severe. With 3 citations, his research is gaining traction as a practical, low-cost alternative to conventional methods. Quartey’s approach exemplifies how clever algorithmic design can overcome hardware limitations, making him a promising voice in the growing field of resource-constrained autonomous systems.