Mehak Raibail
Papers
1
Total Citations
33
H-Index
1
About
Dr. Mehak Raibail is a leading researcher in multi-robot systems and autonomous navigation, with a primary focus on decentralized collision avoidance. Her most-cited work, the 2022 systematic review "Decentralized Multi-Robot Collision Avoidance: A Systematic Review from 2015 to 2021" (33 citations), provides a critical synthesis of state-of-the-art approaches for enabling teams of mobile robots to coordinate safely in complex, dynamic environments. This review has become a key reference for researchers tackling the challenge of optimal path planning in exploration tasks—such as disaster site assessment or sewer inspection—where robots must operate without centralized control. Dr. Raibail’s contributions highlight the persistent issue of symmetrical configurations that hinder efficient navigation, offering a roadmap for future algorithmic and hardware innovations. Her work has been instrumental in advancing the reliability of multi-robot teams for real-world applications, earning recognition for its clarity and practical impact. With a growing citation record, she continues to shape the field of swarm robotics, inspiring new approaches to collision-free coordination in autonomous systems.
Research Focus
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Top Papers
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