Batool Memon

Mehran University of Engineering and Technology

Papers

Total Citations

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About

Batool Memon is a researcher specializing in autonomous systems, robotics, and intelligent control, with a particular focus on path planning and obstacle avoidance for autonomous vehicles. Her most-cited work, "Real time implementation of path planning algorithm with obstacle avoidance for autonomous vehicle" (2016, 18 citations), addresses a critical challenge in autonomous robot design: determining a collision-free, optimal path between start and end positions in obstacle-laden environments. This paper presents a prototype of an autonomous mobile robot that successfully implements real-time path planning, demonstrating practical solutions for safe navigation. Memon’s contributions lie in bridging theoretical algorithms with real-world implementation, making her work valuable for advancing autonomous vehicle technology. Her research impacts fields such as robotics, transportation, and industrial automation, where efficient and safe navigation is paramount. By focusing on real-time performance and obstacle avoidance, Memon has provided foundational insights that support the development of more reliable and intelligent autonomous systems, earning recognition among peers for her applied approach to complex robotic challenges.