Papers
2
Total Citations
27
H-Index
2
About
Priyansh Saxena is a researcher specializing in autonomous systems and multi-agent path planning, with a particular focus on unmanned aerial vehicles (UAVs). His primary contributions lie in developing efficient, nature-inspired algorithms for three-dimensional route planning, addressing the complex challenge of coordinating multiple drones to navigate obstacle-rich environments. Saxena’s most influential work, "Three-dimensional route planning for multiple unmanned aerial vehicles using Salp Swarm Algorithm" (2022), has garnered 24 citations, demonstrating its impact on the field. This research adapts the Salp Swarm Algorithm—a metaheuristic inspired by the swarming behavior of salps—to compute optimal, collision-free trajectories for UAV swarms, balancing translation and rotational movements from start to goal. An earlier version of this work (2019) laid the groundwork, earning 3 citations. Saxena’s contributions are notable for advancing practical solutions in drone logistics, surveillance, and disaster response, where reliable multi-UAV coordination is critical. His work continues to influence researchers and engineers seeking scalable, bio-inspired approaches to autonomous navigation.
Research Focus
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Top Papers
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