Sudha Rajesh

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About

Sudha Rajesh is a prominent researcher in the fields of robotics, optimization algorithms, and autonomous navigation. Her work focuses on developing novel bio-inspired computational methods to solve complex engineering challenges, particularly in mobile robot path planning. Her most cited paper, "MDHO: Mayfly Deer Hunting Optimization Algorithm for Optimal Obstacle Avoidance Based Path Planning Using Mobile Robots" (2023, 17 citations), introduces a hybrid metaheuristic that combines the Mayfly Algorithm with Deer Hunting Optimization to enable efficient, obstacle-free navigation in dynamic environments. This contribution addresses a critical bottleneck in industrial and service robotics, offering a robust solution for real-time path planning. Rajesh’s research is characterized by its practical applicability, bridging theoretical optimization with real-world robotic systems. Her work has garnered attention for its innovative fusion of swarm intelligence and evolutionary strategies, making her a notable voice in the advancement of autonomous mobile systems.