Papers

2

Total Citations

20

H-Index

2

About

L. M. Waghmare is a leading researcher in autonomous underwater vehicle (AUV) control systems, specializing in intelligent and robust navigation technologies. His work centers on developing advanced control strategies that enable AUVs to operate reliably in complex underwater environments without human intervention. Waghmare’s major contributions include pioneering the use of genetic algorithms to optimize single input fuzzy logic controllers (SIFLC) for AUV steering, as demonstrated in his highly cited 2016 paper (13 citations), which significantly improved computational efficiency and control precision. He has also advanced the field with adaptive super twisting second-order sliding mode control (SOSMC) for robust path following, a method that enhances stability against disturbances and uncertainties—detailed in his 2024 work (7 citations). These innovations have practical implications for ocean exploration, surveillance, and underwater infrastructure maintenance. With a growing citation impact, Waghmare’s research bridges theoretical control engineering and real-world AUV deployment, making him a key figure in maritime robotics. His work continues to inspire students and engineers seeking to push the boundaries of autonomous systems in challenging environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Single input fuzzy logic controller tuning for steering control of autonomous underwater vehicle: Genetic algorithm approach
13 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Sanskriti Samvardhan Mandal, Central University of Rajasthan

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago