Mohsen Mahrami

Papers

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About

Mohsen Mahrami is a researcher in robotics and autonomous systems, with a primary focus on simultaneous localization and mapping (SLAM)—a foundational challenge for robots operating in unknown environments. His most-cited work, "Simultaneous localization and mapping: issues and approaches" (2013), critically examines the core problems robots face when navigating unfamiliar terrains, from deep oceans to other planets. In this paper, Mahrami synthesizes key technical hurdles and emerging solutions, offering a valuable roadmap for researchers working on autonomous exploration. While his citation count reflects a niche but growing field, his contribution lies in clarifying the conceptual and practical issues that underpin SLAM systems, helping to guide subsequent advances in robotic perception and navigation. Mahrami’s work is particularly relevant for students and engineers developing robots that must build maps and localize themselves without prior environmental knowledge—a capability essential for planetary rovers, underwater vehicles, and search-and-rescue missions. His research underscores the ongoing importance of robust, adaptive algorithms in enabling truly autonomous machines.