Prashant Pandey

Atal Bihari Vajpayee Indian Institute of Information Technology and Management

Papers

Total Citations

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About

Prashant Pandey is a leading researcher in autonomous systems and swarm intelligence, with a primary focus on aerial robotics and path planning. His work centers on developing efficient, nature-inspired algorithms to solve complex navigation problems for unmanned aerial vehicles (UAVs). Pandey’s most influential contribution is the application of the glowworm swarm optimization algorithm to three-dimensional path planning, a breakthrough that enables UAVs to navigate dynamic, obstacle-rich environments with reduced computational overhead. This seminal paper has garnered 58 citations, underscoring its impact on the field. He has also authored a comprehensive survey on meta-heuristic approaches for aerial path planning (31 citations), which systematically evaluates how algorithms inspired by natural phenomena—such as ant colonies, particle swarms, and fireflies—can produce optimal or near-optimal solutions where traditional deterministic methods fail. By bridging the gap between computational efficiency and real-world applicability, Pandey’s research has advanced the practical deployment of autonomous drones in surveillance, search-and-rescue, and precision agriculture. His work is essential reading for students and engineers seeking to understand how bio-inspired computation can revolutionize robotic navigation.