Kiran Rafique Memon
Papers
1
Total Citations
18
H-Index
1
About
Dr. Kiran Rafique Memon is a robotics researcher whose work focuses on autonomous navigation and intelligent control systems, with a particular emphasis on real-time path planning and obstacle avoidance. Her most-cited paper, "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. In this work, she developed and implemented a prototype autonomous mobile robot capable of dynamically computing safe trajectories, bridging the gap between theoretical algorithms and practical deployment. This contribution has been cited by researchers working on autonomous vehicles, mobile robotics, and intelligent transportation systems. Dr. Memon's research integrates control theory, sensor fusion, and algorithmic optimization to enhance robot autonomy in real-world settings. Her work is particularly valuable for students and engineers seeking to understand the practical challenges of implementing path planning in constrained, dynamic environments. By demonstrating a working prototype, she has provided a foundational reference for those developing autonomous systems that must navigate safely without human intervention.
Research Focus
Key Achievements
Top Papers
- 1