Sameer Agrawal
Papers
2
Total Citations
5
H-Index
2
About
Dr. Sameer Agrawal is a researcher focused on advancing autonomous navigation for aerial systems, with a primary emphasis on path planning and obstacle avoidance for Unmanned Aerial Vehicles (UAVs) in uncertain and complex environments. His work tackles the significant challenge of controlling UAVs in three-dimensional spaces, where conventional algorithms often struggle with convergence speed and computational efficiency. Dr. Agrawal’s major contributions include the development of novel, intelligent algorithms to enhance UAV autonomy. He introduced a Probability Fuzzy Logic approach for path planning in uncertain static environments, and pioneered a Matrix-based Genetic Algorithm (MGA) that significantly improves upon traditional genetic algorithms by optimizing convergence speed and reducing computation time for 3D navigation. While his most-cited works, such as his 2023 publications on fuzzy logic and MGA-based path planning, are early in their citation lifecycle, they represent foundational contributions to the field of aerial robotics. Dr. Agrawal’s research is particularly relevant for applications in surveillance, disaster response, and autonomous delivery systems, where reliable navigation in unpredictable settings is critical. His work continues to push the boundaries of intelligent, adaptive UAV control.
Research Focus
Key Achievements
Top Papers
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