Bhaskar Jyoti Talukdar
Papers
1
Total Citations
4
H-Index
1
About
Bhaskar Jyoti Talukdar is a researcher whose work lies at the intersection of autonomous systems and underwater robotics, with a particular focus on path planning for Autonomous Underwater Vehicles (AUVs). His research addresses critical challenges in optimizing trajectories under real-world constraints, such as limited communication bandwidth and environmental obstacles, which are essential for applications like search and rescue, underwater mapping, and defense operations. His most-cited paper, "Path Planning of Autonomous Underwater Vehicle in Swimming Pool Under Communication Constraints" (2024, 4 citations), demonstrates his ability to tackle practical, constrained environments—even small-scale settings like swimming pools—to develop robust algorithms that can scale to larger, more complex missions. This work highlights his contribution to making AUV navigation more reliable and efficient in communication-limited scenarios, a key hurdle in underwater operations. Talukdar’s research is particularly notable for bridging theoretical path planning with real-world deployment challenges, offering insights that benefit both academic researchers and engineers in the field of marine robotics.
Research Focus
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Top Papers
- 1