Sugandh Memon

Mehran University of Engineering and Technology

Papers

Total Citations

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About

Sugandh Memon is a researcher in autonomous systems and robotics, with a focus on real-time path planning and obstacle avoidance. Her most-cited work, "Real time implementation of path planning algorithm with obstacle avoidance for autonomous vehicle" (2016), has garnered 18 citations and addresses a fundamental challenge in autonomous robot design: enabling collision-free navigation from start to goal in dynamic environments. Memon’s key contribution lies in developing and prototyping a practical algorithm that balances computational efficiency with safety, allowing autonomous vehicles to adapt to obstacles in real time. This work has implications for mobile robotics, self-driving cars, and industrial automation, where reliable path planning is critical. Beyond this paper, Memon’s research advances the integration of control systems and sensor feedback to enhance autonomous decision-making. Her impact is evident in the continued relevance of her algorithm for researchers tackling real-world navigation problems. Memon’s achievements include bridging theoretical path planning with tangible hardware implementation, making her a notable contributor to the field of autonomous vehicle technology.