Rida Bibi

Mehran University of Engineering and Technology

Papers

Total Citations

H-Index

About

Rida Bibi is a robotics researcher whose work focuses on the critical challenge of multi-robot path planning and localization. Her most cited paper, "PSO based localization of multiple mobile robots employing LEGO EV3" (2018, 6 citations), addresses one of the most difficult tasks in mobile robotics: controlling a robot's path to reach an exact target without being affected by environmental conditions. Bibi applies Particle Swarm Optimization (PSO) algorithms to solve the computationally demanding problem of multi-robotic path planning, demonstrating that swarm intelligence techniques can effectively coordinate multiple robots in complex environments. Her research bridges theoretical optimization methods with practical implementation using accessible LEGO EV3 platforms, making her work particularly valuable for educational and experimental robotics. While her citation count is modest, Bibi's contributions are significant for researchers and students working on decentralized robot coordination, offering a foundation for scalable localization solutions. Her work exemplifies how bio-inspired algorithms can address real-world robotic challenges, positioning her as an emerging voice in the field of multi-agent systems and autonomous navigation.