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Found 5 papers, 2 papers with code
Nonlinear Controller Design for a Quadrotor with Inverted Pendulum
The quadrotor is a $6$ degrees-of-freedom (DoF) system with underactuation.
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Last, our control design extrapolates to unseen wind conditions, is shown to be effective for outdoor flights with only onboard sensors, and can transfer across drones with minimal performance degradation.
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
We validate our approach by flying a drone in an open air wind tunnel under varying wind conditions and along challenging trajectories.
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity.
Neural Lander: Stable Drone Landing Control using Learned Dynamics
To the best of our knowledge, this is the first DNN-based nonlinear feedback controller with stability guarantees that can utilize arbitrarily large neural nets.
