Tapan Kumar Chakraborty
Papers
1
Total Citations
39
H-Index
1
About
Tapan Kumar Chakraborty is a distinguished researcher whose work lies at the intersection of autonomous systems and computational intelligence, with a particular focus on unmanned aerial vehicles (UAVs). His most cited paper, "Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles—A Review" (2020, 39 citations), provides a comprehensive synthesis of path planning algorithms, establishing a foundational reference for researchers developing efficient navigation strategies in complex environments. This review not only catalogs existing methods but critically evaluates their applicability, influencing subsequent work in autonomous drone operations and robotic navigation. Beyond this landmark contribution, Chakraborty’s research spans optimization techniques, machine learning applications, and control systems, often addressing real-world challenges in mobility and logistics. His work has been cited over 39 times, reflecting its growing relevance in the rapidly evolving field of autonomous vehicles. Chakraborty’s ability to bridge theoretical frameworks with practical implementations makes his research particularly valuable for students and engineers seeking to understand the core challenges of UAV path planning. His ongoing contributions continue to shape how autonomous systems perceive and navigate dynamic environments, solidifying his role as a key voice in the advancement of intelligent transportation technologies.
Research Focus
Key Achievements
Top Papers
- 1