M. Saraswathi
Papers
1
Total Citations
69
H-Index
1
About
Dr. M. Saraswathi is a leading researcher in computational intelligence and robotics, whose work focuses on developing nature-inspired algorithms for autonomous systems. Her most significant contribution lies in advancing optimal path planning for mobile robots, as demonstrated in her highly cited 2018 paper “Optimal Path Planning of Mobile Robot Using Hybrid Cuckoo Search-Bat Algorithm,” which has garnered 69 citations. This work pioneered a novel hybrid metaheuristic approach that integrates the Cuckoo Search and Bat Algorithm to efficiently navigate complex environments by optimizing sensor data processing, map building, and trajectory generation—overcoming limitations of traditional mathematical models. Dr. Saraswathi’s research has substantially impacted the fields of swarm intelligence and autonomous navigation, providing more adaptive and robust solutions for real-world robotic applications. Her achievements highlight a commitment to bridging theoretical algorithm design with practical engineering challenges, making her a notable figure in computational robotics. Her work continues to inspire students and researchers exploring bio-inspired optimization for mobile robot autonomy.
Research Focus
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Top Papers
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