Madhusmita Panda

Veer Surendra Sai University of Technology

Papers

Total Citations

H-Index

About

Dr. Madhusmita Panda is a leading researcher in autonomous underwater vehicle (AUV) navigation, with a primary focus on path planning and multi-vehicle coordination. Her work addresses critical challenges in optimizing AUV trajectories for complex missions, including search and rescue, underwater mapping, and defense operations. Her most cited paper, "A Hybrid Approach for Path Planning of Multiple AUVs" (2020), has garnered 13 citations, establishing a foundation for efficient multi-agent underwater navigation. More recently, her 2024 study on "Path Planning of Autonomous Underwater Vehicle in Swimming Pool Under Communication Constraints" explores real-world limitations, demonstrating how AUVs can operate effectively even in constrained, communication-limited environments. This work is particularly notable for bridging theoretical optimization with practical deployment scenarios. Dr. Panda’s contributions are vital for advancing autonomous underwater technologies, enabling safer and more reliable missions in challenging aquatic settings. Her research continues to influence both academic studies and applied robotics, making her a key figure in the evolution of intelligent underwater systems.