Adaptive, optimal, and learning-based control for quadrotor swarms using gym-pybullet-drones.
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Updated
Sep 16, 2025 - Jupyter Notebook
Adaptive, optimal, and learning-based control for quadrotor swarms using gym-pybullet-drones.
A learning-based quadrotor control framework synergizing offline GAN structural priors, online Gaussian Process (GP) refinement, and adaptive Robust Tube-based MPC via ROS and PX4.
Uncertainty-aware learning and scenario-based optimal control for nonlinear dynamical systems with infrequent output measurements
control-theroy world
Learning-based quadrotor point-to-point trajectory tracking using neural-network-augmented piecewise LQR with minimum-jerk trajectories and disturbance rejection.
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