Gerard Ely U. Faelden
Papers
5
Total Citations
55
H-Index
4
About
Gerard Ely U. Faelden is a leading researcher in swarm robotics, with a primary focus on the control, coordination, and communication of quadrotor unmanned aerial vehicles (UAVs). His work addresses fundamental challenges in decentralized multi-agent systems, particularly in obstacle avoidance, aggregation, and information dissemination. His most cited paper (24 citations) introduces an artificial potential field method for real-time collision avoidance in quadrotor swarms, a critical capability for autonomous flight in cluttered environments. Faelden also pioneered a genetic algorithm approach for swarm centroid tracking (14 citations), enabling a swarm to maintain a moving object at its center—a key behavior for surveillance and transport tasks. Further contributions include optimizing decentralized information exchange using genetic algorithms (8 citations) and adapting Smoothed Particle Hydrodynamics (SPH) for swarm aggregation (7 citations), treating each robot as a particle in a fluid-like model. His work on a SWEEP cleaning protocol (2 citations) demonstrates practical applications in area coverage. Collectively, Faelden’s research bridges theoretical swarm intelligence with real-world UAV deployment, advancing the field toward robust, scalable, and autonomous aerial swarms.
Research Focus
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Top Papers
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