Papers
1
Total Citations
72
H-Index
1
About
Dr. Saumil Maheshwari is a leading researcher in autonomous systems and swarm intelligence, with a primary focus on unmanned aerial vehicle (UAV) navigation and optimization algorithms. His most influential work, "Three Dimensional Path Planning for UAVs in Dynamic Environment using Glow-worm Swarm Optimization" (2018, 72 citations), introduces a novel approach to collision-free trajectory generation in complex, obstacle-rich 3D spaces. By adapting the glow-worm swarm optimization algorithm to handle dynamic obstacles, Maheshwari addresses one of the most critical challenges in autonomous flight—real-time path planning under uncertainty. This contribution has significant implications for applications ranging from drone delivery to search-and-rescue operations. His research bridges theoretical optimization with practical robotics, demonstrating how bio-inspired algorithms can enhance the safety and efficiency of autonomous systems. With a growing citation record, Maheshwari's work is increasingly recognized as foundational for next-generation UAV autonomy, inspiring further studies in adaptive swarm behavior and real-time decision-making. His achievements mark him as a rising authority in intelligent transportation and aerial robotics.
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Top Papers
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