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72
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About
Utkarsh Goel is a leading researcher in autonomous systems and swarm intelligence, with a primary focus on unmanned aerial vehicle (UAV) navigation and path planning in complex, dynamic environments. His most influential work, "Three Dimensional Path Planning for UAVs in Dynamic Environment using Glow-worm Swarm Optimization" (2018), has garnered 72 citations, establishing him as a key contributor to bio-inspired optimization for robotics. In this seminal paper, Goel introduced an efficient algorithm that enables UAVs to compute collision-free trajectories in three-dimensional spaces while adapting to moving obstacles—a critical advancement for real-world applications like search-and-rescue, surveillance, and autonomous delivery. By leveraging glow-worm swarm optimization, he demonstrated how natural collective behaviors can solve high-dimensional path planning challenges that traditional methods struggle with. Goel’s contributions bridge theoretical swarm intelligence and practical robotics, offering scalable solutions for dynamic obstacle avoidance. His work is widely referenced by researchers developing next-generation autonomous drones, and his innovative approach continues to inspire new directions in adaptive, real-time navigation systems for aerial vehicles operating in unpredictable environments.
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