Sakthitharan Subramanian
University of Bangui, Entrepreneurship Development Institute of India
Papers
2
Total Citations
23
H-Index
2
About
Sakthitharan Subramanian is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on path planning and optimization algorithms for dynamic environments. His most influential work introduces the **Mayfly Deer Hunting Optimization (MDHO) algorithm**, a novel bio-inspired approach for optimal obstacle avoidance in mobile robot path planning. This paper, published in 2023, has already garnered **17 citations**, reflecting its immediate impact on the field. Subramanian’s contributions address a critical challenge: enabling robots to navigate safely and efficiently in unpredictable, real-world settings. His earlier research on **establishing emergency communication networks using multiple autonomous rover robots** (2018, 6 citations) demonstrates a practical, humanitarian application—deploying robots to restore connectivity after natural disasters destroy cellular infrastructure. By combining swarm robotics with optimal coverage strategies, Subramanian bridges theoretical optimization with life-saving technology. His work is essential reading for students and researchers interested in intelligent robotics, disaster response systems, and nature-inspired algorithms.
Research Focus
Key Achievements
Top Papers
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- 2