Mehreen Syed

Papers

Total Citations

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About

Mehreen Syed is a robotics researcher whose work centers on autonomous navigation, path planning, and intelligent control systems for mobile robots. Her most cited paper, "Planning-based optimized path for automatic robot navigation" (2018), tackles a fundamental challenge in robotics: enabling fully autonomous movement without human intervention. Syed addresses the critical issue of laser-based navigation, which traditionally requires pre-built environmental maps that impose significant memory and processing burdens. Her contribution lies in developing optimized planning algorithms that reduce these computational overheads while maintaining reliable, goal-oriented navigation. With 3 citations, this work has provided a practical foundation for researchers seeking to create more efficient autonomous systems. Syed's research is particularly relevant to the growing field of service robotics, where robots must operate in dynamic, unstructured environments. Her focus on balancing autonomy with computational efficiency reflects a deep understanding of real-world deployment constraints. For students and researchers exploring autonomous navigation, Syed's work offers valuable insights into how planning-based approaches can streamline robot movement without sacrificing performance or reliability.