Moses A. Koledoye

Papers

Total Citations

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About

Moses A. Koledoye’s research focuses on robotics, localization, and autonomous systems, with a particular emphasis on solving real-world challenges in constrained and non-ideal environments. His most cited work, “Improved MDS-based Localization with Non-line-of-sight RF Links” (2019, 11 citations), addresses a critical problem in wireless sensor networks by enhancing localization accuracy when signals are obstructed—a common issue in indoor and urban settings. This contribution has implications for robotics, IoT, and emergency response systems. Koledoye also made a notable impact with his design of a mobile robot for air ducts exploration (2017, 4 citations), where he developed an autonomous wheeled platform using off-the-shelf components to navigate and map ventilation systems—a practical solution for inspection and maintenance in inaccessible spaces. His work demonstrates a commitment to bridging theory and application, creating robust systems that operate reliably under real-world constraints. With a growing citation record, Koledoye is establishing himself as a researcher who tackles fundamental problems in localization and field robotics, offering innovative tools for exploration and mapping in challenging environments.