Beomyeol Yu

Beomyeol Yu

Geometric Reinforcement Learning for Quadrotor UAVs

Research
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Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control

This study explores how Equivariant Reinforcement Learning uses geometric symmetry to dramatically improve the training efficiency, safety, and precision of autonomous quadrotor drones.

Research
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Modular Reinforcement Learning for a Quadrotor UAV

This study addresses the limitations of traditional RL approaches for quadrotor control by decomposing the quadrotor dynamics into translational and yaw subsystems, resulting in more efficient training and enhanced yaw control performance.